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Yogesh Garg edited this page Feb 13, 2017
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Research project on increasing accuracy for NYC's DOHMH Yelp classifier for identifying foodborne disease outbreaks.
The aim is to study the result of Google's word2vec on our classifier.
- Google provides pre trained model on Google News https://drive.google.com/file/d/0B7XkCwpI5KDYNlNUTTlSS21pQmM/edit
- Google release: https://code.google.com/archive/p/word2vec/
- Tensorflow model: https://www.tensorflow.org/tutorials/word2vec/
- Tutorial on using pre trained model: http://mccormickml.com/2016/04/12/googles-pretrained-word2vec-model-in-python/
- Api to use pretrained model https://rare-technologies.com/word2vec-tutorial/
- Visualisation: https://github.com/chrisjmccormick/inspect_word2vec
Word vectors approach to identify concepts on social media