{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"**BÁO CÁO BÀI TẬP LỚN MÔN HỌC MÁY**\n\n**Giảng viên** : Trần Quốc Long\n\n**Lớp** : INT 3405E 20\n\n**Họ và tên** : Nguyễn Thị Nhung\n\n**MSSV** : 19021343","metadata":{}},{"cell_type":"markdown","source":"**MÔ TẢ BÀI TOÁN:**\n\nQuora là nền tảng để mọi người có thể học hỏi lẫn nhau bằng cách đặt câu hỏi và trả lời để chia sẻ kiến thức. Mục đích của bài toán này là để phân loại các câu hỏi đặt ra là thuộc loại câu hỏi chân thành hay không chân thành, giúp loại bỏ những câu hỏi thiếu chân thành - những câu hỏi được đặt ra dựa trên những tiền đề sai lầm hoặc có ý định đưa ra một tuyên bố hơn là tìm kiếm những câu trả lời hữu ích.\n* Mục tiêu: Xác định những câu hỏi nào là câu hỏi toxic\n* Input: Câu hỏi dạng văn bản\n* Output: 0/1(Sincere/ Insincere)","metadata":{}},{"cell_type":"markdown","source":"**PHÂN TÍCH DỮ LIỆU, CONVERT, CLEAN DỮ LIỆU**\n\nImport các thư viện cần thiết:\n","metadata":{}},{"cell_type":"code","source":"import pandas as pd \nimport numpy as np\nfrom transformers import AutoTokenizer, AutoModelForSequenceClassification\nfrom wordcloud import WordCloud, STOPWORDS\nimport matplotlib.pyplot as plt \nimport nltk\nfrom nltk.corpus import stopwords\nfrom nltk.stem import PorterStemmer\nfrom nltk.tokenize import word_tokenize\nfrom nltk.corpus import words\nimport seaborn as sns\nimport re\nimport string\nimport os\n\nfrom sklearn.feature_extraction.text import TfidfVectorizer\nfrom sklearn.feature_extraction.text import CountVectorizer\nfrom sklearn.svm import LinearSVC\nfrom sklearn.metrics import f1_score\nfrom sklearn.model_selection import train_test_split","metadata":{"execution":{"iopub.status.busy":"2022-01-08T12:17:01.475985Z","iopub.execute_input":"2022-01-08T12:17:01.476297Z","iopub.status.idle":"2022-01-08T12:17:01.485616Z","shell.execute_reply.started":"2022-01-08T12:17:01.476266Z","shell.execute_reply":"2022-01-08T12:17:01.484383Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"Đọc dữ liệu đầu vào ","metadata":{}},{"cell_type":"code","source":"train = pd.read_csv('/kaggle/input/quora-insincere-questions-classification/train.csv')\ntest = pd.read_csv('/kaggle/input/quora-insincere-questions-classification/test.csv')","metadata":{"execution":{"iopub.status.busy":"2022-01-08T12:17:01.488405Z","iopub.execute_input":"2022-01-08T12:17:01.489404Z","iopub.status.idle":"2022-01-08T12:17:05.379525Z","shell.execute_reply.started":"2022-01-08T12:17:01.489359Z","shell.execute_reply":"2022-01-08T12:17:05.378579Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"Dữ liệu được cung cấp gồm 2 file chính là train.csv và test.csv.","metadata":{}},{"cell_type":"code","source":"print(\"Train:\")\ndisplay(train.head())\nprint('\\n')\nprint(\"Test:\")\ndisplay(test.tail())","metadata":{"execution":{"iopub.status.busy":"2022-01-08T12:17:05.381192Z","iopub.execute_input":"2022-01-08T12:17:05.381580Z","iopub.status.idle":"2022-01-08T12:17:05.405269Z","shell.execute_reply.started":"2022-01-08T12:17:05.381535Z","shell.execute_reply":"2022-01-08T12:17:05.404280Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"Có thể thấy rằng tập train có 3 trường dữ liệu:\n* qid : định danh id cho câu hỏi\n* question_text: nội dung câu hỏi\n* target: phân loại ứng với từng câu hỏi( 1 ứng với câu hỏi không chân thành và 0 ứng với câu hỏi chân thành)\n* không có dữ liệu nào bất thường(missing, null)","metadata":{}},{"cell_type":"code","source":"print(\"Tổng số dữ liệu trong tập train: \",train.shape[0])\nprint(\"Số câu hỏi chân thành: \", len(train[train.target == 0]))\nprint(\"Số câu hỏi không chân thành: \",len(train[train.target == 1]))\nprint(\"Tỉ lệ giữa 2 lớp: \",len(train[train.target == 1])/len(train[train.target == 0]))\nprint('\\n')\n\nax, fig = plt.subplots(figsize=(10, 7))\nquestion_class = train[\"target\"].value_counts()\nquestion_class.plot(kind= 'bar', color= [\"blue\", \"orange\"])\nplt.title('Bar chart')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-01-08T12:17:05.406701Z","iopub.execute_input":"2022-01-08T12:17:05.407811Z","iopub.status.idle":"2022-01-08T12:17:05.845802Z","shell.execute_reply.started":"2022-01-08T12:17:05.407769Z","shell.execute_reply":"2022-01-08T12:17:05.844835Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"Dựa vào biểu đồ trên, ta có thể thấy rõ sự mất cân bằng giữa số câu hỏi không chân thành với số câu hỏi chân thành( tỉ lệ 1:15) khiến tập dữ liệu bị mất cân bằng. Điều này dẫn đến:\n* Đánh giá sai chất lượng mô hình: sự mất cân bằng có thể khiến thước đo đánh giá mô hình là độ chính xác (accuracy) có thể đạt được rất cao mà không cần tới mô hình. Minh chứng đơn giản với bộ dữ liệu trên thì nếu kết quả dự đoán đưa ra tất cả đều có target = 0 thì độ chính xác đã đạt 94%.\n* Mô hình dự đoán kém chính xác: sự mất cân bằng có thể gây hiện tượng Overfitting, khiến kết quả dự đoán ra thường nghiêng về nhóm đa số và kém trên nhóm thiểu số trong khi tầm quan trọng của việc dự báo được chính xác một mẫu thuộc nhóm thiểu số lớn hơn nhiều so với dự báo mẫu thuộc nhóm đa số. ( VD ở đây việc quan trọng nhất là xác định được nhóm câu hỏi không chân thành)\nVì vậy, với bài toán này ta cần sử dụng các metric thay thế accuracy như : F1, Recall,....\nVới bài toán này ta sẽ chọn: [F1-score](http://en.wikipedia.org/wiki/F-score)\n\nF1_score là trung bình điều hòa giữa precision (độ chính xác) và recall (độ bao phủ)\n\nPrecision: trong tập tìm được thì bao nhiêu cái (phân loại) đúng.\n\nRecall: trong số các tồn tại, tìm ra được bao nhiêu cái (phân loại).\n\n","metadata":{}},{"cell_type":"markdown","source":"**Khảo sát tần xuất các từ xuất hiện trong tập dữ liệu**\n\n* **Word Cloud**","metadata":{}},{"cell_type":"code","source":"def cloud(docs, title):\n    wordcloud = WordCloud(width = 750, height = 450, collocations = False, background_color=\"white\").generate(\" \".join(docs))\n    fig = plt.figure(figsize=(10,7), facecolor='w')\n    plt.imshow(wordcloud)\n    plt.axis('off')\n    plt.title(title, fontsize=25,color='k')\n    plt.tight_layout(pad=0)\n    plt.show()\ndata_neg = train[train['target']==0]\ndata_pos = train[train['target']==1]\ncloud(data_neg.question_text, \"Sincere question\")\ncloud(data_pos.question_text, \"Insincere question\")","metadata":{"execution":{"iopub.status.busy":"2022-01-08T12:17:05.848901Z","iopub.execute_input":"2022-01-08T12:17:05.849529Z","iopub.status.idle":"2022-01-08T12:17:33.955753Z","shell.execute_reply.started":"2022-01-08T12:17:05.849481Z","shell.execute_reply":"2022-01-08T12:17:33.952879Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"**Nhận xét**\n\n* Word Cloud là một kỹ thuật trực quan hóa dữ liệu được sử dụng để biểu diễn dữ liệu văn bản, trong đó kích thước của mỗi từ cho biết tần suất hoặc tầm quan trọng của nó.\n\n* 2 word cloud khá tương tự nhau (khi so sánh về các từ nổi bật)\n\n* Các danh từ riêng xuất hiện nhiều hơn ở câu không chân thành","metadata":{}},{"cell_type":"markdown","source":"**Clean dữ liệu**\n\n* Bỏ đi các biểu thức toán học và các đường dẫn liên kết\n\n* Bỏ đi các ký tự đặc biệt, các chữ số, chữ hoa chữ thường (chỉ giữ lại số và chữ)\n\n* Sửa những từ sai chính tả và chuẩn hóa dạng đầy đủ của các từ viết tắt\n\n* Sau khi thử thì em thấy stop_word không ảnh hưởng nhiều lắm nên không loại bỏ\n","metadata":{}},{"cell_type":"markdown","source":"**Các hàm xử lý dữ liệu đã chọn**\n\n* clean_tag : Đưa các biểu thức toán học về \"MATH EQUATION\" và đưa đường dẫn web về \"URL\".Bởi vì các biểu thức toán học và các đường link thường không mang nhiều ý nghĩa, không những vậy nó còn có thể gây ra nhiễu.\n\n* clean_punct: Loại bỏ dấu và các kí tự đặc biệt.\n\n* correct_mispell: Sửa lại các từ viết sai chính tả và đưa một số từ về dạng thông dụng.Do dữ liệu được thu thập trên Qoura, nên không thể tránh được việc bị sai chính tả. Nên việc sửa các từ bị sai chính tả là cần thiết, mục đích cũng giống với sửa các từ viết tắt. Nhưng ta không thể biết được hết các khả năng sai chính tả được, nên mình sẽ chỉ sửa những từ sai chính tả thường gặp, hoặc thay thế một số từ tối nghĩa thành từ đồng nghĩa với nó.\n \n* contraction_mapping: Đưa viết tắt về dạng không viết tắt.\nRiêng về stopword, em nhân thấy rằng sau khi bỏ thì khả năng phân loại của mô hình bị giảm xuống, nên phần xử lý dữ liệu em sẽ để nguyên stopword\n","metadata":{}},{"cell_type":"code","source":"# Xứ lý kí tự toán học và link URL\ndef clean_tag(x):\n  if '[math]' in x:\n    x = re.sub('\\[math\\].*?math\\]', 'MATH EQUATION', x) #replacing with [MATH EQUATION]\n    \n  if 'http' in x or 'www' in x:\n    x = re.sub('(?:(?:https?|ftp):\\/\\/)?[\\w/\\-?=%.]+\\.[\\w/\\-?=%.]+', 'URL', x) #replacing with [url]\n  return x","metadata":{"execution":{"iopub.status.busy":"2022-01-08T12:17:33.957491Z","iopub.execute_input":"2022-01-08T12:17:33.958035Z","iopub.status.idle":"2022-01-08T12:17:33.964708Z","shell.execute_reply.started":"2022-01-08T12:17:33.957997Z","shell.execute_reply":"2022-01-08T12:17:33.963737Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Loại bỏ kí tự đặc biệt\n# Nguồn: https://www.kaggle.com/canming/ensemble-mean-iii-64-36\npuncts = [',', '.', '\"', ':', ')', '(', '-', '!', '?', '|', ';', \"'\", '$', '&', '/', '[', ']', '>', '%', '=', '#', '*', '+', '\\\\', \n        '•', '~', '@', '£', '·', '_', '{', '}', '©', '^', '®', '`', '<', '→', '°', '€', '™', '›', '♥', '←', '×', '§', '″', '′', \n        '█', '…', '“', '★', '”', '–', '●', '►', '−', '¢', '¬', '░', '¡', '¶', '↑', '±', '¿', '▾', '═', '¦', '║', '―', '¥', '▓', \n        '—', '‹', '─', '▒', '：', '⊕', '▼', '▪', '†', '■', '’', '▀', '¨', '▄', '♫', '☆', '¯', '♦', '¤', '▲', '¸', '⋅', '‘', '∞', \n        '∙', '）', '↓', '、', '│', '（', '»', '，', '♪', '╩', '╚', '・', '╦', '╣', '╔', '╗', '▬', '❤', '≤', '‡', '√', '◄', '━', \n        '⇒', '▶', '≥', '╝', '♡', '◊', '。', '✈', '≡', '☺', '✔', '↵', '≈', '✓', '♣', '☎', '℃', '◦', '└', '‟', '～', '！', '○', \n        '◆', '№', '♠', '▌', '✿', '▸', '⁄', '□', '❖', '✦', '．', '÷', '｜', '┃', '／', '￥', '╠', '↩', '✭', '▐', '☼', '☻', '┐', \n        '├', '«', '∼', '┌', '℉', '☮', '฿', '≦', '♬', '✧', '〉', '－', '⌂', '✖', '･', '◕', '※', '‖', '◀', '‰', '\\x97', '↺', \n        '∆', '┘', '┬', '╬', '،', '⌘', '⊂', '＞', '〈', '⎙', '？', '☠', '⇐', '▫', '∗', '∈', '≠', '♀', '♔', '˚', '℗', '┗', '＊', \n        '┼', '❀', '＆', '∩', '♂', '‿', '∑', '‣', '➜', '┛', '⇓', '☯', '⊖', '☀', '┳', '；', '∇', '⇑', '✰', '◇', '♯', '☞', '´', \n        '↔', '┏', '｡', '◘', '∂', '✌', '♭', '┣', '┴', '┓', '✨', '\\xa0', '˜', '❥', '┫', '℠', '✒', '［', '∫', '\\x93', '≧', '］', \n        '\\x94', '∀', '♛', '\\x96', '∨', '◎', '↻', '⇩', '＜', '≫', '✩', '✪', '♕', '؟', '₤', '☛', '╮', '␊', '＋', '┈', '％', \n        '╋', '▽', '⇨', '┻', '⊗', '￡', '।', '▂', '✯', '▇', '＿', '➤', '✞', '＝', '▷', '△', '◙', '▅', '✝', '∧', '␉', '☭', \n        '┊', '╯', '☾', '➔', '∴', '\\x92', '▃', '↳', '＾', '׳', '➢', '╭', '➡', '＠', '⊙', '☢', '˝', '∏', '„', '∥', '❝', '☐', \n        '▆', '╱', '⋙', '๏', '☁', '⇔', '▔', '\\x91', '➚', '◡', '╰', '\\x85', '♢', '˙', '۞', '✘', '✮', '☑', '⋆', 'ⓘ', '❒', \n        '☣', '✉', '⌊', '➠', '∣', '❑', '◢', 'ⓒ', '\\x80', '〒', '∕', '▮', '⦿', '✫', '✚', '⋯', '♩', '☂', '❞', '‗', '܂', '☜', \n        '‾', '✜', '╲', '∘', '⟩', '＼', '⟨', '·', '✗', '♚', '∅', 'ⓔ', '◣', '͡', '‛', '❦', '◠', '✄', '❄', '∃', '␣', '≪', '｢', \n        '≅', '◯', '☽', '∎', '｣', '❧', '̅', 'ⓐ', '↘', '⚓', '▣', '˘', '∪', '⇢', '✍', '⊥', '＃', '⎯', '↠', '۩', '☰', '◥', \n        '⊆', '✽', '⚡', '↪', '❁', '☹', '◼', '☃', '◤', '❏', 'ⓢ', '⊱', '➝', '̣', '✡', '∠', '｀', '▴', '┤', '∝', '♏', 'ⓐ', \n        '✎', ';', '␤', '＇', '❣', '✂', '✤', 'ⓞ', '☪', '✴', '⌒', '˛', '♒', '＄', '✶', '▻', 'ⓔ', '◌', '◈', '❚', '❂', '￦', \n        '◉', '╜', '̃', '✱', '╖', '❉', 'ⓡ', '↗', 'ⓣ', '♻', '➽', '׀', '✲', '✬', '☉', '▉', '≒', '☥', '⌐', '♨', '✕', 'ⓝ', \n        '⊰', '❘', '＂', '⇧', '̵', '➪', '▁', '▏', '⊃', 'ⓛ', '‚', '♰', '́', '✏', '⏑', '̶', 'ⓢ', '⩾', '￠', '❍', '≃', '⋰', '♋', \n        '､', '̂', '❋', '✳', 'ⓤ', '╤', '▕', '⌣', '✸', '℮', '⁺', '▨', '╨', 'ⓥ', '♈', '❃', '☝', '✻', '⊇', '≻', '♘', '♞''◂', '✟', '⌠', '✠', '☚', '✥', '❊', 'ⓒ', '⌈', '❅', 'ⓡ', '♧', 'ⓞ', '▭', '❱', 'ⓣ', '∟', '☕', '♺', '∵', '⍝', 'ⓑ', \n        '✵', '✣', '٭', '♆', 'ⓘ', '∶', '⚜', '◞', '்', '✹', '➥', '↕', '̳', '∷', '✋', '➧', '∋', '̿', 'ͧ', '┅', '⥤', '⬆', '⋱', \n        '☄', '↖', '⋮', '۔', '♌', 'ⓛ', '╕', '♓', '❯', '♍', '▋', '✺', '⭐', '✾', '♊', '➣', '▿', 'ⓑ', '♉', '⏠', '◾', '▹', \n        '⩽', '↦', '╥', '⍵', '⌋', '։', '➨', '∮', '⇥', 'ⓗ', 'ⓓ', '⁻', '⎝', '⌥', '⌉', '◔', '◑', '✼', '♎', '♐', '╪', '⊚', \n        '☒', '⇤', 'ⓜ', '⎠', '◐', '⚠', '╞', '◗', '⎕', 'ⓨ', '☟', 'ⓟ', '♟', '❈', '↬', 'ⓓ', '◻', '♮', '❙', '♤', '∉', '؛', \n        '⁂', 'ⓝ', '־', '♑', '╫', '╓', '╳', '⬅', '☔', '☸', '┄', '╧', '׃', '⎢', '❆', '⋄', '⚫', '̏', '☏', '➞', '͂', '␙', \n        'ⓤ', '◟', '̊', '⚐', '✙', '↙', '̾', '℘', '✷', '⍺', '❌', '⊢', '▵', '✅', 'ⓖ', '☨', '▰', '╡', 'ⓜ', '☤', '∽', '╘', \n        '˹', '↨', '♙', '⬇', '♱', '⌡', '⠀', '╛', '❕', '┉', 'ⓟ', '̀', '♖', 'ⓚ', '┆', '⎜', '◜', '⚾', '⤴', '✇', '╟', '⎛', \n        '☩', '➲', '➟', 'ⓥ', 'ⓗ', '⏝', '◃', '╢', '↯', '✆', '˃', '⍴', '❇', '⚽', '╒', '̸', '♜', '☓', '➳', '⇄', '☬', '⚑', \n        '✐', '⌃', '◅', '▢', '❐', '∊', '☈', '॥', '⎮', '▩', 'ு', '⊹', '‵', '␔', '☊', '➸', '̌', '☿', '⇉', '⊳', '╙', 'ⓦ', \n        '⇣', '｛', '̄', '↝', '⎟', '▍', '❗', '״', '΄', '▞', '◁', '⛄', '⇝', '⎪', '♁', '⇠', '☇', '✊', 'ி', '｝', '⭕', '➘', \n        '⁀', '☙', '❛', '❓', '⟲', '⇀', '≲', 'ⓕ', '⎥', '\\u06dd', 'ͤ', '₋', '̱', '̎', '♝', '≳', '▙', '➭', '܀', 'ⓖ', '⇛', '▊', \n        '⇗', '̷', '⇱', '℅', 'ⓧ', '⚛', '̐', '̕', '⇌', '␀', '≌', 'ⓦ', '⊤', '̓', '☦', 'ⓕ', '▜', '➙', 'ⓨ', '⌨', '◮', '☷', \n        '◍', 'ⓚ', '≔', '⏩', '⍳', '℞', '┋', '˻', '▚', '≺', 'ْ', '▟', '➻', '̪', '⏪', '̉', '⎞', '┇', '⍟', '⇪', '▎', '⇦', '␝', \n        '⤷', '≖', '⟶', '♗', '̴', '♄', 'ͨ', '̈', '❜', '̡', '▛', '✁', '➩', 'ா', '˂', '↥', '⏎', '⎷', '̲', '➖', '↲', '⩵', '̗', '❢', \n        '≎', '⚔', '⇇', '̑', '⊿', '̖', '☍', '➹', '⥊', '⁁', '✢']\ndef clean_punct(x):\n  x = str(x)\n  for punct in puncts:\n    if punct in x:\n      x = x.replace(punct, ' ')\n  return x\n","metadata":{"execution":{"iopub.status.busy":"2022-01-08T12:17:33.966720Z","iopub.execute_input":"2022-01-08T12:17:33.967409Z","iopub.status.idle":"2022-01-08T12:17:34.012142Z","shell.execute_reply.started":"2022-01-08T12:17:33.967364Z","shell.execute_reply":"2022-01-08T12:17:34.011143Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Sửa từ viết sai và đưa một số từ về dạng thông dụng.\n# Nguồn: https://www.kaggle.com/oysiyl/107-place-solution-using-public-kernel\n\nmispell_dict = {'colour': 'color', 'centre': 'center', 'favourite': 'favorite', 'travelling': 'traveling', 'counselling': 'counseling', 'theatre': 'theater', 'cancelled': 'canceled', 'labour': 'labor', 'organisation': 'organization', 'wwii': 'world war 2', 'citicise': 'criticize', 'youtu ': 'youtube ', 'Qoura': 'Quora', 'sallary': 'salary', 'Whta': 'What', 'narcisist': 'narcissist', 'howdo': 'how do', 'whatare': 'what are', 'howcan': 'how can', 'howmuch': 'how much', 'howmany': 'how many', 'whydo': 'why do', 'doI': 'do I', 'theBest': 'the best', 'howdoes': 'how does', 'mastrubation': 'masturbation', 'mastrubate': 'masturbate', \"mastrubating\": 'masturbating', 'pennis': 'penis', 'Etherium': 'bitcoin', 'narcissit': 'narcissist', 'bigdata': 'big data', '2k17': '2017', '2k18': '2018', 'qouta': 'quota', 'exboyfriend': 'ex boyfriend', 'airhostess': 'air hostess', \"whst\": 'what', 'watsapp': 'whatsapp', 'demonitisation': 'demonetization', 'demonitization': 'demonetization', 'demonetisation': 'demonetization', \n                'electroneum':'bitcoin','nanodegree':'degree','hotstar':'star','dream11':'dream','ftre':'fire','tensorflow':'framework','unocoin':'bitcoin',\n                'lnmiit':'limit','unacademy':'academy','altcoin':'bitcoin','altcoins':'bitcoin','litecoin':'bitcoin','coinbase':'bitcoin','cryptocurency':'cryptocurrency',\n                'simpliv':'simple','quoras':'quora','schizoids':'psychopath','remainers':'remainder','twinflame':'soulmate','quorans':'quora','brexit':'demonetized',\n                'iiest':'institute','dceu':'comics','pessat':'exam','uceed':'college','bhakts':'devotee','boruto':'anime','cryptocoin':'bitcoin','blockchains':'blockchain','fiancee':'fiance','redmi':'smartphone','oneplus':'smartphone','qoura':'quora','deepmind':'framework','ryzen':'cpu','whattsapp':'whatsapp',\n                'undertale':'adventure','zenfone':'smartphone','cryptocurencies':'cryptocurrencies','koinex':'bitcoin','zebpay':'bitcoin','binance':'bitcoin','whtsapp':'whatsapp',\n                'reactjs':'framework','bittrex':'bitcoin','bitconnect':'bitcoin','bitfinex':'bitcoin','yourquote':'your quote','whyis':'why is','jiophone':'smartphone',\n                'dogecoin':'bitcoin','onecoin':'bitcoin','poloniex':'bitcoin','7700k':'cpu','angular2':'framework','segwit2x':'bitcoin','hashflare':'bitcoin','940mx':'gpu',\n                'openai':'framework','hashflare':'bitcoin','1050ti':'gpu','nearbuy':'near buy','freebitco':'bitcoin','antminer':'bitcoin','filecoin':'bitcoin','whatapp':'whatsapp',\n                'empowr':'empower','1080ti':'gpu','crytocurrency':'cryptocurrency','8700k':'cpu','whatsaap':'whatsapp','g4560':'cpu','payymoney':'pay money',\n                'fuckboys':'fuck boys','intenship':'internship','zcash':'bitcoin','demonatisation':'demonetization','narcicist':'narcissist','mastuburation':'masturbation',\n                'trignometric':'trigonometric','cryptocurreny':'cryptocurrency','howdid':'how did','crytocurrencies':'cryptocurrencies','phycopath':'psychopath',\n                'bytecoin':'bitcoin','possesiveness':'possessiveness','scollege':'college','humanties':'humanities','altacoin':'bitcoin','demonitised':'demonetized',\n                'brasília':'brazilia','accolite':'accolyte','econimics':'economics','varrier':'warrier','quroa':'quora','statergy':'strategy','langague':'language',\n                'splatoon':'game','7600k':'cpu','gate2018':'gate 2018','in2018':'in 2018','narcassist':'narcissist','jiocoin':'bitcoin','hnlu':'hulu','7300hq':'cpu','weatern':'western','interledger':'blockchain','deplation':'deflation', 'cryptocurrencies':'cryptocurrency', 'bitcoin':'blockchain cryptocurrency',}\n\ndef correct_mispell(x):\n  words = x.split()\n  for i in range(0, len(words)):\n    if mispell_dict.get(words[i]) is not None:\n      words[i] = mispell_dict.get(words[i])\n    elif mispell_dict.get(words[i].lower()) is not None:\n      words[i] = mispell_dict.get(words[i].lower())\n        \n  words = \" \".join(words)\n  return words","metadata":{"execution":{"iopub.status.busy":"2022-01-08T12:17:34.014000Z","iopub.execute_input":"2022-01-08T12:17:34.014909Z","iopub.status.idle":"2022-01-08T12:17:34.039498Z","shell.execute_reply.started":"2022-01-08T12:17:34.014851Z","shell.execute_reply":"2022-01-08T12:17:34.038471Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Bỏ viết tắt\n# Nguồn: https://www.kaggle.com/theoviel/improve-your-score-with-text-preprocessing-v2 \n\ncontraction_mapping = {\"We'd\": \"We had\", \"That'd\": \"That had\", \"AREN'T\": \"Are not\", \"HADN'T\": \"Had not\", \"Could've\": \n                       \"Could have\", \"LeT's\": \"Let us\", \"How'll\": \"How will\", \"They'll\": \"They will\", \"DOESN'T\": \"Does not\",\n                       \"HE'S\": \"He has\", \"O'Clock\": \"Of the clock\", \"Who'll\": \"Who will\", \"What'S\": \"What is\", \"Ain't\": \n                       \"Am not\", \"WEREN'T\": \"Were not\", \"Y'all\": \"You all\", \"Y'ALL\": \"You all\", \"Here's\": \"Here is\", \"It'd\": \n                       \"It had\", \"Should've\": \"Should have\", \"I'M\": \"I am\", \"ISN'T\": \"Is not\", \"Would've\": \"Would have\", \n                       \"He'll\": \"He will\", \"DON'T\": \"Do not\", \"She'd\": \"She had\", \"WOULDN'T\": \"Would not\", \"She'll\": \n                       \"She will\", \"IT's\": \"It is\", \"There'd\": \"There had\", \"It'll\": \"It will\", \"You'll\": \"You will\", \"He'd\": \"He had\", \n                       \"What'll\": \"What will\", \"Ma'am\": \"Madam\", \"CAN'T\": \"Can not\", \"THAT'S\": \"That is\", \"You've\": \"You have\", \n                       \"She's\": \"She is\", \"Weren't\": \"Were not\", \"They've\": \"They have\", \"Couldn't\": \"Could not\", \"When's\": \n                       \"When is\", \"Haven't\": \"Have not\", \"We'll\": \"We will\", \"That's\": \"That is\", \"We're\": \"We are\", \"They're\": \n                       \"They' are\", \"You'd\": \"You would\", \"How'd\": \"How did\", \"What're\": \"What are\", \"Hasn't\": \"Has not\", \n                       \"Wasn't\": \"Was not\", \"Won't\": \"Will not\", \"There's\": \"There is\", \"Didn't\": \"Did not\", \"Doesn't\": \n                       \"Does not\", \"You're\": \"You are\", \"He's\": \"He is\", \"SO's\": \"So is\", \"We've\": \"We have\", \"Who's\": \n                       \"Who is\", \"Wouldn't\": \"Would not\", \"Why's\": \"Why is\", \"WHO's\": \"Who is\", \"Let's\": \"Let us\", \"How's\": \n                       \"How is\", \"Can't\": \"Can not\", \"Where's\": \"Where is\", \"They'd\": \"They had\", \"Don't\": \"Do not\", \n                       \"Shouldn't\":\"Should not\", \"Aren't\":\"Are not\", \"ain't\": \"is not\", \"What's\": \"What is\", \"It's\": \n                       \"It is\", \"Isn't\":\"Is not\", \"aren't\": \"are not\",\"can't\": \"cannot\", \"'cause\": \"because\", \"could've\": \n                       \"could have\", \"couldn't\": \"could not\", \"didn't\": \"did not\",  \"doesn't\": \"does not\", \"don't\": \"do not\", \n                       \"hadn't\": \"had not\", \"hasn't\": \"has not\", \"haven't\": \"have not\", \"he'd\": \"he would\",\"he'll\": \"he will\", \n                       \"he's\": \"he is\", \"how'd\": \"how did\", \"how'd'y\": \"how do you\", \"how'll\": \"how will\", \"how's\": \"how is\",  \n                       \"I'd\": \"I would\", \"I'd've\": \"I would have\", \"I'll\": \"I will\", \"I'll've\": \"I will have\",\"I'm\": \"I am\", \n                       \"I've\": \"I have\", \"i'd\": \"i would\", \"i'd've\": \"i would have\", \"i'll\": \"i will\",  \"i'll've\": \"i will have\",\n                       \"i'm\": \"i am\", \"i've\": \"i have\", \"isn't\": \"is not\", \"it'd\": \"it would\", \"it'd've\": \"it would have\", \"it'll\"\n                       : \"it will\", \"it'll've\": \"it will have\",\"it's\": \"it is\", \"let's\": \"let us\", \"ma'am\": \"madam\", \"mayn't\": \n                       \"may not\", \"might've\": \"might have\",\"mightn't\": \"might not\",\"mightn't've\": \"might not have\", \"must've\": \n                       \"must have\", \"mustn't\": \"must not\", \"mustn't've\": \"must not have\", \"needn't\": \"need not\", \"needn't've\": \n                       \"need not have\",\"o'clock\": \"of the clock\", \"oughtn't\": \"ought not\", \"oughtn't've\": \"ought not have\", \"shan't\"\n                       : \"shall not\", \"sha'n't\": \"shall not\", \"shan't've\": \"shall not have\", \"she'd\": \"she would\", \"she'd've\": \n                       \"she would have\", \"she'll\": \"she will\", \"she'll've\": \"she will have\", \"she's\": \"she is\", \"should've\": \n                       \"should have\", \"shouldn't\": \"should not\", \"shouldn't've\": \"should not have\", \"so've\": \"so have\",\"so's\": \n                       \"so as\", \"this's\": \"this is\",\"that'd\": \"that would\", \"that'd've\": \"that would have\", \"that's\": \"that is\", \n                       \"there'd\": \"there would\", \"there'd've\": \"there would have\", \"there's\": \"there is\", \"here's\": \"here is\",\n                       \"they'd\": \"they would\", \"they'd've\": \"they would have\", \"they'll\": \"they will\", \"they'll've\": \"they will have\",\n                       \"they're\": \"they are\", \"they've\": \"they have\", \"to've\": \"to have\", \"wasn't\": \"was not\", \"we'd\": \"we would\", \n                       \"we'd've\": \"we would have\", \"we'll\": \"we will\", \"we'll've\": \"we will have\", \"we're\": \"we are\", \"we've\": \"we have\", \n                       \"weren't\": \"were not\", \"what'll\": \"what will\", \"what'll've\": \"what will have\", \"what're\": \"what are\",  \n                       \"what's\": \"what is\", \"what've\": \"what have\", \"when's\": \"when is\", \"when've\": \"when have\", \"where'd\": \n                       \"where did\", \"where's\": \"where is\", \"where've\": \"where have\", \"who'll\": \"who will\", \"who'll've\": \n                       \"who will have\", \"who's\": \"who is\", \"who've\": \"who have\", \"why's\": \"why is\", \"why've\": \"why have\",\n                       \"will've\": \"will have\", \"won't\": \"will not\", \"won't've\": \"will not have\", \"would've\": \"would have\", \n                       \"wouldn't\": \"would not\", \"wouldn't've\": \"would not have\", \"y'all\": \"you all\", \"y'all'd\": \n                       \"you all would\",\"y'all'd've\": \"you all would have\",\"y'all're\": \"you all are\",\"y'all've\": \n                       \"you all have\",\"you'd\": \"you would\", \"you'd've\": \"you would have\", \"you'll\": \"you will\", \n                       \"you'll've\": \"you will have\", \"you're\": \"you are\", \"you've\": \"you have\" }\n\ndef clean_contractions(text):\n    specials = [\"’\", \"‘\", \"´\", \"`\"]\n    for s in specials:\n        text = text.replace(s, \"'\")\n        text = ' '.join([contraction_mapping[t] if t in contraction_mapping else t for t in text.split(\" \")])\n    return text","metadata":{"execution":{"iopub.status.busy":"2022-01-08T12:17:34.043871Z","iopub.execute_input":"2022-01-08T12:17:34.044135Z","iopub.status.idle":"2022-01-08T12:17:34.070175Z","shell.execute_reply.started":"2022-01-08T12:17:34.044076Z","shell.execute_reply":"2022-01-08T12:17:34.069278Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Gọi tất cả các hàm tiền xử lý dữ liệu trên\ndef data_cleaning(x):\n  x = clean_tag(x)\n  x = clean_punct(x)\n  x = correct_mispell(x)\n  x = clean_contractions(x)\n#x = remove_stopwords(x)\n  return x","metadata":{"execution":{"iopub.status.busy":"2022-01-08T12:17:34.071501Z","iopub.execute_input":"2022-01-08T12:17:34.071996Z","iopub.status.idle":"2022-01-08T12:17:34.086178Z","shell.execute_reply.started":"2022-01-08T12:17:34.071922Z","shell.execute_reply":"2022-01-08T12:17:34.084996Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#Tạo ra 1 tập dữ liệu đã được cleaning\ntrain['question_text_cleaned'] = train['question_text'].apply(lambda x: data_cleaning(x))\ntest['question_text_cleaned'] = test['question_text'].apply(lambda x: data_cleaning(x))\ndisplay(train.head(),test.head())","metadata":{"execution":{"iopub.status.busy":"2022-01-08T12:17:34.088787Z","iopub.execute_input":"2022-01-08T12:17:34.089320Z","iopub.status.idle":"2022-01-08T12:19:11.766190Z","shell.execute_reply.started":"2022-01-08T12:17:34.089279Z","shell.execute_reply":"2022-01-08T12:19:11.765086Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"**HUẤN LUYỆN VÀ ĐÁNH GIÁ MÔ HÌNH**\n\nTa cần chia tập train thành 2 phần để huấn luyện và đánh giá mô hình.\n\nCách đơn giản nhất là ta có thể lấy ngẫu nhiên một tập dữ liệu con từ tập train để làm tập validation. Tuy nhiên vì sự chêch lệch tỉ lệ quá lớn khiến tập validation khi lấy có thể xảy ra trường hợp  chứa toàn bộ dữ liệu thuộc cùng một lớp\n\nGiải pháp: lấy ngẫu nhiên dữ liệu từ từng lớp. Ví dụ với bộ dữ liệu hiện tại, ta muốn tạo ra tập validation có tỉ lệ 1:10 từ tập train thì ta lấy ta 1/10 dữ liệu từ lớp có target = 0 và 1/10 dữ liệu từ tập target = 1.\n\nSử dụng hàm train_test_split() của sklearn để chia tập theo phương pháp trên.","metadata":{}},{"cell_type":"code","source":"def test_funtion_split():\n    X = train.question_text\n    y = train.target\n    X_train, X_val, y_train, y_val = train_test_split(X, y, test_size=0.2, random_state=42)\n    print(\"Tỉ lệ giữa 2 lớp trong tập train\",len(y_train[y_train == 0])/len(y_train[y_train == 1]))\n    print(\"Tỉ lệ giữa 2 lớp trong tập test\",len(y_val[y_val == 0])/len(y_val[y_val == 1]))\n\ntest_funtion_split()","metadata":{"execution":{"iopub.status.busy":"2022-01-08T12:19:11.768007Z","iopub.execute_input":"2022-01-08T12:19:11.768339Z","iopub.status.idle":"2022-01-08T12:19:12.114746Z","shell.execute_reply.started":"2022-01-08T12:19:11.768297Z","shell.execute_reply":"2022-01-08T12:19:12.113691Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"**Mô hình được chọn:** LinearSVC\n\nLinearSVC giúp ta tìm được đường phân chia giữa 2 lớp sao cho margin là lớn nhất. Việc margin rộng hơn sẽ mang lại hiệu ứng phân lớp tốt hơn vì sự phân chia giữa hai classes là rạch ròi hơn.\n\n![2022-01-08_17-33-13.png](attachment:d05cfa58-e464-4a65-95d4-39eaea71b1b7.png)","metadata":{},"attachments":{"d05cfa58-e464-4a65-95d4-39eaea71b1b7.png":{"image/png":"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"}}},{"cell_type":"markdown","source":"**Tiền xử lý dữ liệu**\n1. CountVectorizer\nđược sử dụng để chuyển đổi một bộ sưu tập các tài liệu văn bản thành một vectơ có số lượng thuật ngữ / mã thông báo.","metadata":{}},{"cell_type":"code","source":"count_vectorizer = CountVectorizer(analyzer='word', ngram_range=(1,3))","metadata":{"execution":{"iopub.status.busy":"2022-01-08T12:19:12.116438Z","iopub.execute_input":"2022-01-08T12:19:12.116955Z","iopub.status.idle":"2022-01-08T12:19:13.203459Z","shell.execute_reply.started":"2022-01-08T12:19:12.116912Z","shell.execute_reply":"2022-01-08T12:19:13.202334Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#Hàm dự đoán sử dụng linear\ndef predict_linearSVC(X_train,y_train,X_test):\n    count_vectorizer.fit(X_train)\n    X_train = count_vectorizer.transform(X_train)\n    X_test = count_vectorizer.transform(X_test)\n    svm = LinearSVC()\n    svm.fit(X_train,y_train)\n    return svm.predict(X_test)\n#Dự đoán trên tập validation\ndef validate_base_model():\n    X = train.question_text\n    y = train.target\n    X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n    predict = predict_linearSVC(X_train,y_train,X_test)\n    return f1_score(predict,y_test)","metadata":{"execution":{"iopub.status.busy":"2022-01-08T12:19:13.207884Z","iopub.execute_input":"2022-01-08T12:19:13.208870Z","iopub.status.idle":"2022-01-08T12:19:13.217797Z","shell.execute_reply.started":"2022-01-08T12:19:13.208815Z","shell.execute_reply":"2022-01-08T12:19:13.216638Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"print('F1-Score của base-model trên tập validation: ',validate_base_model())","metadata":{"execution":{"iopub.status.busy":"2022-01-08T12:19:13.219247Z","iopub.execute_input":"2022-01-08T12:19:13.219785Z","iopub.status.idle":"2022-01-08T12:26:15.949419Z","shell.execute_reply.started":"2022-01-08T12:19:13.219743Z","shell.execute_reply":"2022-01-08T12:26:15.948194Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"2. TF-IDF ( [Tài liệu tham khảo](https://vi.wikipedia.org/wiki/Tf%E2%80%93idf))\n\nTrọng số này được sử dụng để đánh giá tầm quan trọng của một từ trong một văn bản. Giá trị cao thể hiện độ quan trọng cao và nó phụ thuộc vào số lần từ xuất hiện trong văn bản nhưng bù lại bởi tần suất của từ đó trong tập dữ liệu","metadata":{}},{"cell_type":"code","source":"tfidf = TfidfVectorizer(ngram_range=(1, 3))","metadata":{"execution":{"iopub.status.busy":"2022-01-08T12:26:15.951397Z","iopub.execute_input":"2022-01-08T12:26:15.952026Z","iopub.status.idle":"2022-01-08T12:26:16.976547Z","shell.execute_reply.started":"2022-01-08T12:26:15.951978Z","shell.execute_reply":"2022-01-08T12:26:16.975311Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#Hàm dự đoán sử dụng linear\ndef predict_linearSVC(X_train,y_train,X_test):\n    tfidf.fit(X_train)\n    X_train = tfidf.transform(X_train)\n    X_test = tfidf.transform(X_test)\n    svm = LinearSVC()\n    svm.fit(X_train,y_train)\n    return svm.predict(X_test)\n \n#Dự đoán trên tập validation\ndef validate_base_model():\n    X = train.question_text\n    y = train.target\n    X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n    predict = predict_linearSVC(X_train,y_train,X_test)\n    return f1_score(predict,y_test)","metadata":{"execution":{"iopub.status.busy":"2022-01-08T12:26:16.978845Z","iopub.execute_input":"2022-01-08T12:26:16.979368Z","iopub.status.idle":"2022-01-08T12:26:16.990973Z","shell.execute_reply.started":"2022-01-08T12:26:16.979325Z","shell.execute_reply":"2022-01-08T12:26:16.990080Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"print('F1-Score của base-model trên tập validation: ',validate_base_model())","metadata":{"execution":{"iopub.status.busy":"2022-01-08T12:26:16.992893Z","iopub.execute_input":"2022-01-08T12:26:16.993557Z","iopub.status.idle":"2022-01-08T12:30:06.145805Z","shell.execute_reply.started":"2022-01-08T12:26:16.993500Z","shell.execute_reply":"2022-01-08T12:30:06.144811Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"**Nhận xét :**\n\n* Đầu tiên ta sử dụng CountVectorizer nhưng nó không hiệu quả\n\n* Thay vào đó sử dụng TF-IDF hiệu quả hơn","metadata":{}},{"cell_type":"code","source":"def create_file_submission(predict):\n    submission = pd.DataFrame(test['qid'])\n    submission['prediction'] = predict\n    submission.to_csv('submission.csv', index=False)\n    \ndef submit_base_model():\n    X_train = train['question_text']\n    y_train = train.target\n    X_test = test['question_text']\n    predict = predict_linearSVC(X_train,y_train,X_test)\n    create_file_submission(predict)","metadata":{"execution":{"iopub.status.busy":"2022-01-08T12:30:06.147364Z","iopub.execute_input":"2022-01-08T12:30:06.147934Z","iopub.status.idle":"2022-01-08T12:30:06.155023Z","shell.execute_reply.started":"2022-01-08T12:30:06.147891Z","shell.execute_reply":"2022-01-08T12:30:06.154013Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#submit_base_model()","metadata":{"execution":{"iopub.status.busy":"2022-01-08T12:30:06.156424Z","iopub.execute_input":"2022-01-08T12:30:06.157387Z","iopub.status.idle":"2022-01-08T12:30:06.167232Z","shell.execute_reply.started":"2022-01-08T12:30:06.157346Z","shell.execute_reply":"2022-01-08T12:30:06.166235Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"![2022-01-08_17-22-32.png](attachment:6f820ac5-ad50-47bb-822b-9df51377a48a.png)","metadata":{},"attachments":{"6f820ac5-ad50-47bb-822b-9df51377a48a.png":{"image/png":"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"}}},{"cell_type":"markdown","source":"**Nhận xét :**\n\nĐiểm số đạt được trên tập test khá tương đồng với điểm số trên tập validation cho thấy tập validation đã đánh giá chính xác hiệu năng của model đồng thời cho thấy mô hình không xảy ra các hiện tượng underfiting, overfiting.","metadata":{}},{"cell_type":"markdown","source":"**THỰC NGHIỆM**","metadata":{}},{"cell_type":"code","source":"def validate_baseModel_dataCleaded():\n    X = train.question_text_cleaned\n    y = train.target\n    X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n    predict = predict_linearSVC(X_train,y_train,X_test)\n    return f1_score(predict,y_test)\n\nprint(\"F1-Score trên tập dữ liệu đã xử lý: \",validate_baseModel_dataCleaded())","metadata":{"execution":{"iopub.status.busy":"2022-01-08T12:42:00.335792Z","iopub.execute_input":"2022-01-08T12:42:00.336081Z","iopub.status.idle":"2022-01-08T12:45:48.813867Z","shell.execute_reply.started":"2022-01-08T12:42:00.336050Z","shell.execute_reply":"2022-01-08T12:45:48.812870Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"def submit():\n    X_train = train['question_text_cleaned']\n    y_train = train.target\n    X_test = test['question_text_cleaned']\n    predict = predict_linearSVC(X_train,y_train,X_test)\n    create_file_submission(predict)\n    \nsubmit()\n","metadata":{"execution":{"iopub.status.busy":"2022-01-08T12:45:48.815872Z","iopub.execute_input":"2022-01-08T12:45:48.816814Z","iopub.status.idle":"2022-01-08T12:50:47.224268Z","shell.execute_reply.started":"2022-01-08T12:45:48.816770Z","shell.execute_reply":"2022-01-08T12:50:47.223219Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"![2022-01-08_20-20-40.png](attachment:a2ac91df-f55c-4463-b58f-d7e2a3098f2f.png)","metadata":{},"attachments":{"a2ac91df-f55c-4463-b58f-d7e2a3098f2f.png":{"image/png":"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"}}}]}