:hammer: cnn based sentiment analysis

:hammer: cnn based sentiment analysis

- 1 min

Small project on text analysis via CNN’s within a uni seminar. Using an alphabet-based character-level dummy-encoding allows for the application of 1D Cnns for classification of yelp reviews. Based on work from Zhang, Zhao and LeCunn (2015). Also included Local Interpretable Model-Agnostic Explanations (LIME) by Marco Ribeiro to make sense out of complex decision makers such as CNNs.

rss facebook twitter github gitlab youtube mail spotify lastfm instagram linkedin google google-plus pinterest medium vimeo stackoverflow reddit quora quora gscholar