Review of Research on Text Sentiment Analysis Based on Deep Learning - Open Access Library Journal

OALibJ > Vol.7 No.3, March 2020

Open Access Library Journal

Volume 7, Issue 3 (March 2020)

ISSN Print: 2333-9705 ISSN Online: 2333-9721

Google-based Impact Factor: 1.18 Citations

Review of Research on Text Sentiment Analysis Based on Deep Learning ()

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DOI: 10.4236/oalib.1106174 1,500 Downloads 4,340 Views Citations

Author(s)

Wenling Li¹, Bo Jin¹, Yu Quan^2*

Affiliation(s)

¹College of Science, Yanbian University, Yanji, China.
²Department of Economics and Management of Yanbian University, Yanji, China.

ABSTRACT

Sentiment analysis is part of the field of natural language processing (NLP), and its purpose is to dig out the process of emotional tendencies by analyzing some subjective texts. With the development of word vector, deep learning develops rapidly in natural language processing. Therefore, the text emotion analysis based on deep learning has also been widely studied. This article is mainly divided into two parts. The first part briefly introduces the traditional methods of sentiment analysis. The second part introduces several typical methods of sentiment analysis based on deep learning. The advantages and disadvantages of sentiment analysis are summarized and analyzed, which lays a foundation for the in-depth research of scholars.

KEYWORDS

Deep Learning, Sentiment Analysis, Convolutional Neural Network, Recurrent Neural Network

Share and Cite:

Li, W. , Jin, B. and Quan, Y. (2020) Review of Research on Text Sentiment Analysis Based on Deep Learning. Open Access Library Journal, 7, 1-8. doi: 10.4236/oalib.1106174.

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