TY - GEN
T1 - Exploring Chinese Dynamic Sentiment/Emotion Analysis with Text Mining—Taiwanese Popular Movie Reviews Comment as a Case
AU - Li, Hao Hsun
AU - Cheng, Ming Shien
AU - Hsu, Ping Yu
AU - Ko, Yen Huei
AU - Luo, Zhi Chao
N1 - Publisher Copyright:
© 2020, Springer Nature Switzerland AG.
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
KW - Movie reviews
KW - Sentiment/emotion analysis
KW - Text mining
KW - Time dynamic analysis
UR - http://www.scopus.com/inward/record.url?scp=85098275991&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-66187-8_9
DO - 10.1007/978-3-030-66187-8_9
M3 - 會議論文篇章
AN - SCOPUS:85098275991
SN - 9783030661861
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 84
EP - 93
BT - Mining Intelligence and Knowledge Exploration - 7th International Conference, MIKE 2019, Proceedings
A2 - B.R., P.
A2 - Thenkanidiyoor, Veena
A2 - Prasath, Rajendra
A2 - Vanga, Odelu
PB - Springer Science and Business Media Deutschland GmbH
T2 - 7th International Conference on Mining Intelligence and Knowledge Exploration, MIKE 2019
Y2 - 19 December 2019 through 22 December 2019
ER -