Open AccessResearch on Opinion Target Extraction and System Information Collection Analysis for Reviews
Author(s) -
Jiannan Gao,
Yanyan Zhao
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1982/1/012154
Subject(s) - computer science , task (project management) , polarity (international relations) , sentiment analysis , term (time) , object (grammar) , artificial intelligence , the internet , information retrieval , extraction (chemistry) , natural language processing , world wide web , chemistry , chromatography , genetics , physics , management , quantum mechanics , biology , cell , economics
Though the study of opinion target extraction of movie review, this paper proposed a method for opinion target extraction of movie review based on deep learning, and analyzed its emotional polarity. Finally, the experimental results were displayed in a visual manner to help users judge the details of the movie content. In this paper, by establishing a bidirectional short-term and short-term memory network model, the opinion target extraction task is translated into a sequence labeling task, which improved the accuracy of opinion object extraction. This paper crawled and organized the Chinese movie review corpus from the Internet and the experimental results proved the effectiveness of the proposed method.