Exploring Chinese Dynamic Sentiment/Emotion Analysis with Text Mining—Taiwanese Popular Movie Reviews Comment as a Case

Hao Hsun Li, Ming Shien Cheng, Ping Yu Hsu, Yen Huei Ko, Zhi Chao Luo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

With the rapid development of technology, viewers’ opinions are no longer passed on by word-of-mouth in the real world but expressed on the Internet. In the six categories of life, food, clothing, housing, travel, education, and entertainment, every part is inseparable from comments. The most common entertainment in the six majors is watching movie. When people are interested in a movie, they might collect information online firstly so they might spend a lot of time reading online reviews and ratings. In order to have a general understanding of the movie, they will check different reviews and ratings on different online platforms. Thus, it is very meaningful to sort out helpful reviews from a large number of reviews and comments from other people. In this paper, we apply text exploration technology to the comments of movie and the analysis will allow the viewers to clearly identify the information they need. This study collects movie reviews from the online platform (YAHOO film) for text exploration and analysis. Many comments don’t align with the ratings, so the primary goal of research is to verify whether the netizens’ comments are consistent with the ratings, then discuss the connection between movie date and the emotional words. The viewers can refer to these overall analysis and emotional time dynamics in the future when they want to check feedbacks from other people. The result shows that the time dynamic analysis has significant differences in emotional words in the third week so it would be better to the viewers referring to the third-week rating as a quick check before watching movies.

Original languageEnglish
Title of host publicationMining Intelligence and Knowledge Exploration - 7th International Conference, MIKE 2019, Proceedings
EditorsP. B.R., Veena Thenkanidiyoor, Rajendra Prasath, Odelu Vanga
PublisherSpringer Science and Business Media Deutschland GmbH
Pages84-93
Number of pages10
ISBN (Print)9783030661861
DOIs
StatePublished - 2020
Event7th International Conference on Mining Intelligence and Knowledge Exploration, MIKE 2019 - Veling, India
Duration: 19 Dec 201922 Dec 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11987 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Conference on Mining Intelligence and Knowledge Exploration, MIKE 2019
Country/TerritoryIndia
CityVeling
Period19/12/1922/12/19

Keywords

  • Movie reviews
  • Sentiment/emotion analysis
  • Text mining
  • Time dynamic analysis

Fingerprint

Dive into the research topics of 'Exploring Chinese Dynamic Sentiment/Emotion Analysis with Text Mining—Taiwanese Popular Movie Reviews Comment as a Case'. Together they form a unique fingerprint.

Cite this