Sentiment Classification with Word Attention based on Weakly Supervised Learning with a Convolutional Neural Network

28 Sep 2017Gichang LeeJaeyun JeongSeungwan SeoCzangYeob KimPilsung Kang

In order to maximize the applicability of sentiment analysis results, it is necessary to not only classify the overall sentiment (positive/negative) of a given document but also to identify the main words that contribute to the classification. However, most datasets for sentiment analysis only have the sentiment label for each document or sentence... (read more)

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