E3S Web Conf.
Volume 189, 20202020 International Conference on Agricultural Science and Technology and Food Engineering (ASTFE 2020)
|Number of page(s)||5|
|Section||Natural Resources and Environmental Studies|
|Published online||15 September 2020|
Keyword extraction for film reviews based on social network analysis and natural language technology
Jiangxi University of Science and Technology, Ganzhou, Jiangxi, 341000, China
2 Shenzhen University, Shenzhen, Guangdong, 518000, China
* Corresponding author: firstname.lastname@example.org
At present, there are many movie reviews appear on main stream websites, and these evaluations are quite different to the same movie. As a customer, how to choose your favorite movie and television program? To solve this problem, this study attempts to use the semantic analysis of word vectors (Word2vec) semantic analysis in machine learning as a research tool to mine a large number of movie reviews. The research shows that most movie reviews have a certain theme cohesion and their semantic network has quite connected. Through the use of social network analysis and the use of Word2vec word vector technology in natural language processing, it is possible to present a streamlined movie review based on movie review network semantics and keyword extraction, thus helping to select the favorite movie review.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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