Deep learning for sentiment analysis
Year: 2016
Type: article
Abstract: 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.
Source: Language and Linguistics Compass
DOI: 10.1111/lnc3.12228
Author: Lina Maria Rojas‐Barahona
Institution: University of Cambridge
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2565145181