Code from the paper "Yelp Dish: Bootstrapping approach to recommend restaurant food items based on sentiment". Word2Vec data and yelp data missing in repo. The file "parse_yelp3.py" generates the results.
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Using the yelp academic dataset, word2vec and a bootstrapping approach, we find restaurant menu items that have positive and negative sentiment.
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- Python 41.3%
- OpenEdge ABL 39.4%
- C 16.3%
- Shell 2.8%
- Makefile 0.2%