Text Compression for Sentiment Analysis via Evolutionary Algorithms

20 Sep 2017Emmanuel DufourqBruce A. Bassett

Can textual data be compressed intelligently without losing accuracy in evaluating sentiment? In this study, we propose a novel evolutionary compression algorithm, PARSEC (PARts-of-Speech for sEntiment Compression), which makes use of Parts-of-Speech tags to compress text in a way that sacrifices minimal classification accuracy when used in conjunction with sentiment analysis algorithms... (read more)

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