Sentiment classification of short text using sentimental context

Wenjie Zheng, Zenan Xu, Yanghui Rao*, Haoran Xie, Fu Lee Wang, Reggie Kwan

*Corresponding author for this work

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)

Abstract

Sentiment analysis has important applications in many areas, including marketing, recommendation, and financial analysis. Since topic modeling can discover hidden semantic structures, researchers put forward sentiment analysis models based on topic models. These models have been successfully applied on long texts, but analysis for short text is a challenging task because of the sparsity of features in short texts. We observe that the textual context has been widely considered on text analysis task, but on sentiment analysis area, most sentiment analysis models still lack of consideration and integration of sentimental context. Thus, by taking the speciality of sentiment analysis task and short text into consideration, we propose the sentimental context to enrich the characteristics and improve the performance of sentiment classification over short text. We first put forward the concept of sentimental context, which is extracted from the text body and sentiment lexicon, and then we integrate the sentimental context and propose two sentiment classification models based on word-level and topic-level respectively. We present results on real-world datasets from various sources, validating the effectiveness of the proposed models.

Original languageEnglish
Title of host publicationProceedings of 4th International Conference on Behavioral, Economic, and Socio-Cultural Computing, BESC 2017
EditorsYves Demazeau, Jianbo Gao, Guandong Xu, Jaroslaw Kozlak, Klaus Muller, Imran Razzak, Hao Chen, Yanhui Gu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781538623657
DOIs
Publication statusPublished - 1 Jul 2017
Externally publishedYes
Event4th International Conference on Behavioral, Economic, and Socio-Cultural Computing, BESC 2017 - Cracow, Poland
Duration: 16 Oct 201718 Oct 2017

Publication series

NameProceedings of 4th International Conference on Behavioral, Economic, and Socio-Cultural Computing, BESC 2017
Volume2018-January

Conference

Conference4th International Conference on Behavioral, Economic, and Socio-Cultural Computing, BESC 2017
CountryPoland
CityCracow
Period16/10/1718/10/17

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Zheng, W., Xu, Z., Rao, Y., Xie, H., Wang, F. L., & Kwan, R. (2017). Sentiment classification of short text using sentimental context. In Y. Demazeau, J. Gao, G. Xu, J. Kozlak, K. Muller, I. Razzak, H. Chen, & Y. Gu (Eds.), Proceedings of 4th International Conference on Behavioral, Economic, and Socio-Cultural Computing, BESC 2017 (pp. 1-6). (Proceedings of 4th International Conference on Behavioral, Economic, and Socio-Cultural Computing, BESC 2017; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BESC.2017.8256405