Twitter Sentiment Analysis Using Social-Spider Lex Feature-Based Syntactic-Senti Rule Recurrent Neural Network Classification

IF 1 4区计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

International Journal of Uncertainty Fuzziness and Knowledge-Based Systems Pub Date : 2022-04-11 DOI:10.1142/s0218488522400037

K. Anuratha, M. Parvathy

引用次数: 0

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基于社交蜘蛛Lex特征的句法- senti规则递归神经网络分类的Twitter情感分析

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Uncertainty Fuzziness and Knowledge-Based Systems 工程技术-计算机：人工智能

CiteScore

2.70

自引率

0.00%

发文量

审稿时长

13.5 months

期刊介绍： The International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems is a forum for research on various methodologies for the management of imprecise, vague, uncertain or incomplete information. The aim of the journal is to promote theoretical or methodological works dealing with all kinds of methods to represent and manipulate imperfectly described pieces of knowledge, excluding results on pure mathematics or simple applications of existing theoretical results. It is published bimonthly, with worldwide distribution to researchers, engineers, decision-makers, and educators.