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Sentiment Analysis of Citations Using Word2vec
[article]
2017
arXiv
pre-print
Citation sentiment analysis is an important task in scientific paper analysis. Existing machine learning techniques for citation sentiment analysis are focusing on labor-intensive feature engineering, which requires large annotated corpus. As an automatic feature extraction tool, word2vec has been successfully applied to sentiment analysis of short texts. In this work, I conducted empirical research with the question: how well does word2vec work on the sentiment analysis of citations? The
arXiv:1704.00177v1
fatcat:nvogofdstnan3ehs2ouubijhx4