Abstract
Social media websites are a major hub for users to express their opinions online. Businesses spend an enormous amount of time and money to understand their customer opinions about their products and services. Sentiment analysis which is also called opinion mining, involves in building a system to collect and examine opinions about the product made in blog posts, comments, or reviews. In this paper, we propose a framework for sentiment analysis based on combining lexicon-based and learning-based methods for product review sentiment analysis in Vietnamese language. Text analytics, Linguistic analysis and Vietnamese emotional dictionary were built, proposing features which adapted with the language was proposed. The experimental show that our system has very well performance when combine advantage of lexicon-based and learning based and can be applied in online systems for sentiment analysis product reviews.
This is a preview of subscription content, log in via an institution to check access.
References
Trinh, S., Nguyen, L., Vo, M., Do, P.: Lexicon-based sentiment analysis of Facebook comments in Vietnamese language. In: Studies in Computational Intelligence, pp. 263–276. Springer (2016)
Liu, B.: Sentiment analysis and opinion mining. In: Synthesis Lectures on Human Language Technologies, pp. 1–167. Morgan & Claypool Publishers (2008)
Aue, A., Gamon, M.: Customizing sentiment classifiers to new domains: a case study. Presented at the Recent Advances in Natural Language Processing (RANLP), Borovets, Bulgaria (2005)
Andreevskaia, A., Bergler, S.: ClaC CLaC-NB: Knowledge-based and corpus-based approaches to sentiment tagging. In: Proceedings of the 4th International Workshop on Semantic Evaluations. Association for Computational Linguistics, Prague, Czech Republic (2007)
Vinodhini, G., Chandrasekaran, R.M.: Sentiment analysis and opinion mining: a survey. Int. J. Adv. Res. Comput. Sci. Softw. Eng. 2(6) (2012)
Turney, P.D.: Thumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews. In: Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics (ACL), pp. 417–424 (2002)
Taboada, M., Brooks, J., Tofiloski, M., Voll, K., Stede, M.: Lexicon-based methods for sentiment analysis. Comput. Linguist. 37(2), 267–307 (2011)
Melville, P., Gryc, W., Lawrence, R.D.: Sentiment analysis of blogs by combining lexical knowledge with text classification. In: Proceedings of 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (2011)
Ding, X., Liu, B., Yu, P.S.: A holistic Lexicon-based approach to opinion mining. In: Proceedings of the International Conference on Web Search and Web Data Mining, pp. 231–240. ACM (2008)
Hatzivassiloglou, V., McKeown, K.R.: Predicting the semantic orientation of adjectives. In: Proceedings of the eighth conference on European chapter of the Association for Computational Linguistics, pp. 174–181. Association for Computational Linguistics, Madrid, Spain (1997)
Polanyi, L., Zaenen, A.: Contextual valence shifters. In: Computing Attitude and Affect in Text: Theory and Applications, pp. 1–10. Springer, Dordrecht (2006)
Kennedy, A., Inkpen, D.: Sentiment classification of movie reviews using contextual valence shifters. Comput. Intell. 22(2), 110–125 (2006)
Nguyen, H.N., Van Le, T., Le, H.S., Pham, T.V.: Domain specific sentiment dictionary for opinion mining of Vietnamese text. In: The 8th International Workshop, MIWAI 2014, Bangalore, India (2014)
Duyen, N.T., Bach, N.X., Phuong, T.M.: An empirical study on sentiment analysis for Vietnamese. In: International Conference on Advanced Technologies for Communications (2014)
Duy, N.N.: Document summarization based on sentiment classification. Master thesis in computer science (Vietnamese), University of Technology Hochiminh City (2014)
Phu, V.N., Tuoi, P.T.: Sentiment classification using enhanced contextual valence shifters. In: Proceedings of International Conference on Asian Language Processing, Malaysia (2014)
Pang, B., Lee, L.: A sentimental education: sentiment analysis using subjectivity summarization based on minimum cuts In: Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics, ACL ’04. Association for Computational Linguistics, USA (2004)
Characteristics of Vietnamese language. http://en.wikipedia.org/wiki/Vietnamese_alphabet
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this chapter
Cite this chapter
Trinh, S., Nguyen, L., Vo, M. (2018). Combining Lexicon-Based and Learning-Based Methods for Sentiment Analysis for Product Reviews in Vietnamese Language. In: Lee, R. (eds) Computer and Information Science. ICIS 2017. Studies in Computational Intelligence, vol 719. Springer, Cham. https://doi.org/10.1007/978-3-319-60170-0_5
Download citation
DOI: https://doi.org/10.1007/978-3-319-60170-0_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-60169-4
Online ISBN: 978-3-319-60170-0
eBook Packages: EngineeringEngineering (R0)