A Sentiment Classification Approach of Sentences Clustering in Webcast Barrages


Jun Li, Guimin Huang, Ya Zhou, Journal of Information Processing Systems Vol. 16, No. 3, pp. 718-732, Jun. 2020  

10.3745/JIPS.04.0174
Keywords: semi-supervised, Sentences Clustering, sentiment analysis, Webcast Barrages
Fulltext:

Abstract

Conducting sentiment analysis and opinion mining are challenging tasks in natural language processing. Many of the sentiment analysis and opinion mining applications focus on product reviews, social media reviews, forums and microblogs whose reviews are topic-similar and opinion-rich. In this paper, we try to analyze the sentiments of sentences from online webcast reviews that scroll across the screen, which we call live barrages. Contrary to social media comments or product reviews, the topics in live barrages are more fragmented, and there are plenty of invalid comments that we must remove in the preprocessing phase. To extract evaluative sentiment sentences, we proposed a novel approach that clusters the barrages from the same commenter to solve the problem of scattering the information for each barrage. The method developed in this paper contains two subtasks: in the data preprocessing phase, we cluster the sentences from the same commenter and remove unavailable sentences; and we use a semi-supervised machine learning approach, the naïve Bayes algorithm, to analyze the sentiment of the barrage. According to our experimental results, this method shows that it performs well in analyzing the sentiment of online webcast barrages.


Statistics
Show / Hide Statistics

Statistics (Cumulative Counts from November 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.




Cite this article
[APA Style]
Jun Li, Guimin Huang, & Ya Zhou (2020). A Sentiment Classification Approach of Sentences Clustering in Webcast Barrages. Journal of Information Processing Systems, 16(3), 718-732. DOI: 10.3745/JIPS.04.0174.

[IEEE Style]
J. Li, G. Huang and Y. Zhou, "A Sentiment Classification Approach of Sentences Clustering in Webcast Barrages," Journal of Information Processing Systems, vol. 16, no. 3, pp. 718-732, 2020. DOI: 10.3745/JIPS.04.0174.

[ACM Style]
Jun Li, Guimin Huang, and Ya Zhou. 2020. A Sentiment Classification Approach of Sentences Clustering in Webcast Barrages. Journal of Information Processing Systems, 16, 3, (2020), 718-732. DOI: 10.3745/JIPS.04.0174.