NDLI: Sentiment analysis of movie reviews based on deep learning

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Sentiment analysis of movie reviews based on deep learning

Content Provider	Scilit
Author	Zhang, Fuqian Zeng, Qingtao Lu, Likun Li, Yeli
Copyright Year	2021
Description	Journal: Journal of Physics: Conference Series In recent years, with the rapid development of NLP (Natural Language Processing) and deep learning, public opinion and public opinion on the Internet have decreased a lot compared to the past. Many Internet users have changed from mere "bystanders" to disseminators of Internet information. Movie review sentiment analysis technology is an emerging category in the field of information mining. More and more people have joined the "review army". The quality of a movie is closely related to movie reviews! The manual screening method not only consumes a lot of manpower and material resources, but also is inefficient. Therefore, the use of deep learning-based sentiment analysis has become the current general trend. Based on the principle of word mosaic (word vector) and deep learning, this paper proposes a movie review sentiment analysis technology based on deep learning and machine learning word mosaic. Experiments show that the method used in this article has reached the correct rate of emotional classification of movie reviews. 83.13%, the experimental results prove the practicability and scalability of this method and the effectiveness of this method.
Related Links	https://iopscience.iop.org/article/10.1088/1742-6596/1754/1/012234/pdf
ISSN	17426588
e-ISSN	17426596
DOI	10.1088/1742-6596/1754/1/012234
Journal	Journal of Physics: Conference Series
Issue Number	1
Volume Number	1754
Language	English
Publisher	IOP Publishing
Publisher Date	2021-02-01
Access Restriction	Open
Subject Keyword	Journal: Journal of Physics: Conference Series Movie Reviews Based On Deep Learning Movie Review Sentiment Analysis
Content Type	Text
Resource Type	Article
Subject	Physics and Astronomy

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