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Deep Learning-based Sentiment Classification: A Comparative Survey
2020
IEEE Access
Recently, Deep Learning (DL) approaches have been applied to solve the Sentiment Classification (SC) problem, which is a core task in reviews mining or Sentiment Analysis (SA). The performances of these approaches are affected by different factors. This paper addresses these factors and classifies them into three categories: data preparation based factors, feature representation based factors and the classification techniques based factors. The paper is a comprehensive literature-based survey
doi:10.1109/access.2020.2992013
fatcat:fos2ltl4gzc7tmtzp7w4rzrxye