{"cells":[{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"# This Python 3 environment comes with many helpful analytics libraries installed\n# It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python\n# For example, here's several helpful packages to load in \n\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\n# Input data files are available in the \"../input/\" directory.\n# For example, running this (by clicking run or pressing Shift+Enter) will list the files in the input directory\n\nimport os\nprint(os.listdir(\"../input\"))\ndata=pd.read_csv('../input/train.csv')\ndata.shape\n\n\n# Any results you write to the current directory are saved as output.","execution_count":null,"outputs":[]},{"metadata":{"_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","trusted":true},"cell_type":"code","source":"data.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"2589d3e43d36a8d9b2644771fb181cca85a6d840"},"cell_type":"code","source":"# Check for missing values\ndata.isnull().sum()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"67405397695fae2a8bdd3c7539cb93e8957bfb56"},"cell_type":"code","source":"import nltk\nimport numpy as np\nimport pandas as pd","execution_count":null,"outputs":[]},{"metadata":{"_uuid":"f71119a2830973aa5dca111c4f507393bb5a7087"},"cell_type":"markdown","source":"### Word Cloud"},{"metadata":{"trusted":true,"_uuid":"36f0790a7ac38c0743ad653ab98239065f058306"},"cell_type":"code","source":"!pip install wordcloud","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"597d238582326d2b635a65a86fc8eefac8d5aebe"},"cell_type":"code","source":"from wordcloud import WordCloud\nimport matplotlib.pyplot as plt\n%matplotlib inline\n","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"03cf5355f2bda5c764473565100138d97865f466"},"cell_type":"code","source":"target1=data[data['target']==1]\ntarget0=data[data['target']==0]","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"f99b9df25c6cfea42cfa6fcb2ab2dd645443d30f"},"cell_type":"code","source":"docs1=target1['question_text']\nprint(len(docs1))\ndocs0=target0['question_text']\nprint(len(docs0))","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"3601e2be93a20eb995d9e7e4b55fe59d1bdc4baf"},"cell_type":"code","source":"stopwords=nltk.corpus.stopwords.words('english')\nwc1 = WordCloud(background_color='white',stopwords=stopwords).generate(' '.join(docs1))\nplt.imshow(wc1)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"9da502b4fd0110af3b5ad4a3e2eb24bcc67f54ed"},"cell_type":"code","source":"wc0 = WordCloud(background_color='white',stopwords=stopwords).generate(' '.join(docs0))\nplt.imshow(wc0)","execution_count":null,"outputs":[]},{"metadata":{"_uuid":"55e50ac9d9616cbdf66364240ade8c2530130dda"},"cell_type":"markdown","source":"### Data Cleaning"},{"metadata":{"trusted":true,"_uuid":"4fa5976277ff133df52edf2553b0b1ff50993085"},"cell_type":"code","source":"docs=data['question_text']\nlen(data)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"75698c3fce8390b64d848bf23f5cb561ee702f3e"},"cell_type":"code","source":"# We pass a raw document and this function returns a clean document.\nstopwords=nltk.corpus.stopwords.words('english')\nstemmer = nltk.stem.PorterStemmer()\n\ndef clean_sentence(doc):\n    words = doc.split(' ')\n    words_clean = [stemmer.stem(word) for word in words if word not in stopwords]\n    doc_clean = ' '.join(words_clean)\n    return doc_clean\n\ndocs_clean = docs.apply(clean_sentence)\ndocs_clean.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"85b4cdb8f83a1c18459970cfa96665c5a665b51c"},"cell_type":"code","source":"print(data['target'].value_counts())\nprint(pd.isnull(data).sum()) #check for missing values","execution_count":null,"outputs":[]},{"metadata":{"_uuid":"400f6ee4f91fbbaf3cdf12d8f19c326c6a8bb3a2"},"cell_type":"markdown","source":"### Training and Validation"},{"metadata":{"trusted":true,"_uuid":"e1c5c6c19350c53b6c0810188253103d1341fa0d"},"cell_type":"code","source":"from sklearn.model_selection import train_test_split\ntrain_x,test_x,train_y,test_y=train_test_split(docs_clean,\n                                               data['target'],\n                                               test_size=0.2,\n                                               random_state=100)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"0fbeb1c31abe87ecf3015678204ded924ff1260c"},"cell_type":"code","source":"#Count Vectorization\nfrom sklearn.feature_extraction.text import CountVectorizer\nvectorizer = CountVectorizer(min_df=50).fit(train_x)\ntrain_x = vectorizer.transform(train_x)\ntest_x = vectorizer.transform(test_x)","execution_count":null,"outputs":[]},{"metadata":{"_uuid":"3ea0e0c8fc23578c2e7512eeb0d94c731d9d0661"},"cell_type":"markdown","source":"### Model Building"},{"metadata":{"trusted":true,"_uuid":"ca380e89305f29f875ecfbc13886e0642c3fd14c"},"cell_type":"markdown","source":"### Multinomial and Bernoulli Naive Bayes"},{"metadata":{"trusted":true,"_uuid":"da46860c1d95aac1af177ef2277d9f50bcd05dbb"},"cell_type":"code","source":"from sklearn.naive_bayes import MultinomialNB , BernoulliNB\nfrom sklearn.metrics import f1_score\nmodel_mnb = MultinomialNB().fit(train_x , train_y)\ntest_pred_mnb = model_mnb.predict(test_x)\nprint(f1_score(test_y , test_pred_mnb))","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"05b4ff7e5dd9c31b00cc98d8cf74f93b72652e0a"},"cell_type":"code","source":"model_bnb = BernoulliNB().fit(train_x , train_y)\ntest_pred_bnb = model_bnb.predict(test_x)\nprint(f1_score(test_y , test_pred_bnb))","execution_count":null,"outputs":[]},{"metadata":{"_uuid":"0bb416dae09d01aaeb7b503f243f7abee0d49d71"},"cell_type":"markdown","source":"### Decision Tree"},{"metadata":{"trusted":true,"_uuid":"f77ae3b705bf9c4fbb80ffa5d0f54a2841c6b46e"},"cell_type":"code","source":"from sklearn.tree import DecisionTreeClassifier\nmodel_dt = DecisionTreeClassifier(max_depth = 10).fit(train_x, train_y)\ntest_pred = model_dt.predict(test_x)\nprint(f1_score(test_y,test_pred))","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"267c1f4348af576b826d4513ac8e9273847edead"},"cell_type":"code","source":"test_data = pd.read_csv('../input/test.csv')\ntest_data.head()","execution_count":null,"outputs":[]},{"metadata":{"_uuid":"4dbd1b20f628e6f88b7f591899857b19002db38f"},"cell_type":"markdown","source":"### Data Cleaning"},{"metadata":{"trusted":true,"_uuid":"39364cb880b05e592d4d3f0078f4a966ae08bfb9"},"cell_type":"code","source":"test_docs = test_data['question_text']\ntest_docs = test_docs.str.lower().str.replace('[^a-z ]' , '')","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"f79d681d9d85fa56913d958df373babde9f203ee"},"cell_type":"code","source":"test_docs_clean = test_docs.apply(clean_sentence)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"22896052c33aaaa5f13d86a7bae9ff121ea7c3ab"},"cell_type":"code","source":"test_docs_clean = vectorizer.transform(test_docs_clean)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"e83c381f4fe39e89714904589d48fc24318ba916"},"cell_type":"code","source":"test_docs_pred_mnb = model_mnb.predict(test_docs_clean)","execution_count":null,"outputs":[]},{"metadata":{"_uuid":"dcf110fe916736ff53473789012984e518bfddd4"},"cell_type":"markdown","source":"### Data Submission"},{"metadata":{"trusted":true,"_uuid":"ff164f2b509b9c8ab4b40f3378e39a4de9d50e3b"},"cell_type":"code","source":"data_submit = pd.DataFrame({'qid' : test_data['qid'] , 'prediction' : test_docs_pred_mnb})\ndata_submit.to_csv('submission.csv' , index = False)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"98b26ea264fda9eb6836046fb768bf623c5e326e"},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"1913890f7e32b30e8165df265b66045afbd95eaa"},"cell_type":"code","source":"","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"name":"python","version":"3.6.6","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat":4,"nbformat_minor":1}