Topic Analysis on User Generated Comments of Chinese Mainland Films
- 10.2991/978-2-38476-062-6_48How to use a DOI?
- film analysis; topic mining; hierarchical clustering; word2vec
Online film commentary, which is an important channel for movie fans to express their opinions and emotions, is extremely useful for movie research. In this study, we used topic mining on Douban movie comments to examine 12 popular Chinese mainland films. To provide this, we:1) construct movie comments corpus though web crawling and scraping;2) identify 12 movie topics by word2vec and hierarchical clustering;3) calculate the involved topics of each comment from 12 popular Chinese mainland films;4) evaluate the degree of popularity and praise of each topic of the 12 films. In the result, we give a brief analysis of 12 film topics and choose four of the most essential movie topics: plot, actor, character, and atmosphere, and conduct a visual movie-topic analysis based on two factors: popularity and praise.
- © 2023 The Author(s)
- Open Access
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Cite this article
TY - CONF AU - Anyuan Zhong AU - Ruiyu Qiu PY - 2023 DA - 2023/07/11 TI - Topic Analysis on User Generated Comments of Chinese Mainland Films BT - Proceedings of the 2023 2nd International Conference on Social Sciences and Humanities and Arts (SSHA 2023) PB - Atlantis Press SP - 379 EP - 386 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-062-6_48 DO - 10.2991/978-2-38476-062-6_48 ID - Zhong2023 ER -