Sentiment analysis of comments of wooden furniture based on naive Bayesian model

Author:

Ji Jie,Wang HaiyanORCID,Song Shasha,Pi Jingwen

Funder

Fundamental Research Funds for the Central Universities

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Reference29 articles.

1. Saini, S., (Amity Institute of Information Technology, Noida, U. P., India), Punhani, R., Bathla, R., Shukla, V.K.: Sentiment analysis on twitter data using R. In: Proceedings of the 2019 International Conference on Automation, Computational and Technology Management, ICACTM 2019, pp 68–72, April 2019

2. Lu, P.: Research status and prospect of text affective analysis. Guangdong Sci. Technol. 6, 87–90 (2017) (In Chinese)

3. Xue, Y.D.: An overview of Chinese emotional analysis. Comput. Progr. Skills Maint. 5, 22–24 (2016) (In Chinese)

4. Pang, B., Lee, L., Vaithyanathan, S.: Thumbs up?: sentiment classification using machine learning techniques. In: Proceedings of the ACL-02 Conference on Empirical Methods in Natural Language Processing vol. 10. Association for Computational Linguistics pp 79–86 2002

5. Agarwal, A., Bhattacharyya, P.: Sentiment analysis: a new approach for effective use of linguistic knowledge and exploiting similarities in a set of documents to be classified (2005)

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