CUED Publications database

Deep learning for sentiment analysis

Rojas-Barahona, LM (2016) Deep learning for sentiment analysis. Linguistics and Language Compass, 10. pp. 701-719.

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Abstract

Copyright © 2016 John Wiley & Sons, Ltd. Research and industry are becoming more and more interested in finding automatically the polarised opinion of the general public regarding a specific subject. The advent of social networks has opened the possibility of having access to massive blogs, recommendations, and reviews. The challenge is to extract the polarity from these data, which is a task of opinion mining or sentiment analysis. The specific difficulties inherent in this task include issues related to subjective interpretation and linguistic phenomena that affect the polarity of words. Recently, deep learning has become a popular method of addressing this task. However, different approaches have been proposed in the literature. This article provides an overview of deep learning for sentiment analysis in order to place these approaches in context.

Item Type: Article
Subjects: UNSPECIFIED
Divisions: Div F > Machine Intelligence
Depositing User: Cron Job
Date Deposited: 17 Jul 2017 19:19
Last Modified: 16 Nov 2017 02:19
DOI: