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Algorithm Research & Explore
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342-346

Personality-based microblog sentiment analysis model PLSTM

Yuan Tingting
Yang Wenzhong
Zhong Lijun
Zhang Zhihao
Xiang Jinyong
College of Information Science & Engineering, Xinjiang University, Urumqi 830046, China

Abstract

Users of different personalities have different language expressions. Existing sentiment analysis work rarely considers the personality of the user. To solve this problem, this paper proposed a micro-blog sentiment analysis model based personality, called PLSTM. The model firstly used the personality recognition rules to divide the microblog text into five personality sets and a universal set, then trained a sentiment classifier for each personality set, and finally integrated six basic sentiment classifiers to obtain the ultimate sentiment polarity. The experimental results show that the F1 value of the PLSTM method can reach 96.95%, which indicates that PLSTM has a higher improvement in accuracy, recall rate and F1 value than the commonly used benchmark sentiment analysis model.

Foundation Support

国家自然科学基金资助项目(U1603115,61262087)
国家"973"计划资助项目(2014CB340500)
国家自然科学基金重点项目(U1435215)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.07.0521
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 2
Section: Algorithm Research & Explore
Pages: 342-346
Serial Number: 1001-3695(2020)02-005-0342-05

Publish History

[2020-02-05] Printed Article

Cite This Article

袁婷婷, 杨文忠, 仲丽君, 等. 基于性格的微博情感分析模型PLSTM [J]. 计算机应用研究, 2020, 37 (2): 342-346. (Yuan Tingting, Yang Wenzhong, Zhong Lijun, et al. Personality-based microblog sentiment analysis model PLSTM [J]. Application Research of Computers, 2020, 37 (2): 342-346. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


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