{"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\nimport gensim\nprint(os.listdir(\"../input\"))\nprint(os.listdir(\"../input/embeddings/GoogleNews-vectors-negative300/\"))\n\n# Any results you write to the current directory are saved as output.","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"c3e611ab98cbba2d044f23b1411780b1359fefc5"},"cell_type":"code","source":"url = '../input/embeddings/GoogleNews-vectors-negative300/GoogleNews-vectors-negative300.bin'\nembeddings = gensim.models.KeyedVectors.load_word2vec_format(url, binary=True)","execution_count":null,"outputs":[]},{"metadata":{"_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","trusted":true},"cell_type":"code","source":"url = 'https://raw.githubusercontent.com/AnaswaraElizabethAnt/datasets/master/yelp_labelled.csv'\n#url='https://raw.githubusercontent.com/skathirmani/datasets/master/yelp_labelled.csv'\nyelp = pd.read_csv(url,sep='\\t', header=None)\nyelp.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"428c8f34e3c90f5d371b333f66056bd4ed93b3ad"},"cell_type":"code","source":"url='https://raw.githubusercontent.com/gaya3reddy/Datasets/master/yelp_labelled.csv'\nimport numpy as np\nimport pandas as pd\nimport gensim\n#url='https://raw.githubusercontent.com/skathirmani/datasets/master/yelp_labelled.csv'\nyelp_reviews = pd.read_csv(url, sep='\\t',header=None)\nyelp_reviews.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"3c8ddb34a83923bd6f482936b8195e3809fe1cd0"},"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}