- 期刊
Sentiment Analysis on Chinese Micro-blog Texts: A New Approach Using Enhanced Supervised Learning Model
摘要
The sentiment analysis of the review texts of micro-blog is helpful for deep mining Chinese Micro-blog (Weibo)-one of the main social media in China. Aiming at the shortcomings of the widely used machine language in sentiment analysis of texts when dealing with sentences containing connectives, this paper formulates rules for dealing with Chinese connectives, incorporates expression symbols into feature vectors, calculates sentiment decision scores with sentiment dictionaries, and proposes an enhanced supervised learning model that is based on language rules and emotional scores. Examples show that the proposed model can significantly improve the effectiveness of text classification.
參考文獻
Tyagi, Priyanka and Chakraborty, Sudeshna and Tripathi, R. C. and Choudhury, Tanupriya, Literature Review of Sentiment Analysis Techniques for Microblogging Site (March 15, 2019). Available at SSRN, https://ssrn.com/abstract=3403968 or http://dx.doi.org/10.2139/ssrn.3403968
Abid, Fazeel, Alam, Muhammad and Yasir, Muhammad (2019). Sentiment analysis through recurrent variants latterly on convolutional neural network of Twitter, Future Generation Computer System-The International Journal of Escience, Vol.95, 292-308.
Abudalfa, S. I. and Ahmed, M. A. (2019). Semi-Supervised Target-Dependent Sentiment Classification for Micro-Blogs, Journal of Computer Science and Technology, Vol.19, e06-e06.
Ai, Y., Chen, Z., Wang, S. and Pang, Y. (2018, July). Recognizing emotions in chinese text using dictionary and ensemble of classifiers, In Third International Workshop on Pattern Recognition (Vol. 10828, p. 1082807). International Society for Optics and Photonics.
AlAwadhi, S. and Al-Daihani, S. M. (2019). Marketing academic library information services using social media, Library Management, Vol.40, 228-239.