Sentiment Analysis Based on Product Review Data of Chinese Commerce Website of JD
Wenhua Song, Aiming Qin, Tiansheng Xu
Available Online 6 April 2020.
- https://doi.org/10.2991/aebmr.k.200402.012How to use a DOI?
- sentiment analysis, machine learning, web spider
- With the popularity of the Internet and the development of e-commerce, online shopping has become more and more popular. Based on the commodity text comments of an e-commerce website, this paper uses machine learning method to analyze and mine the emotional direction of commodity comments. Finally, combining JIEBA and SNOWNLP, K-Folding Cross-Validation was used to obtain the final emotional score of the product review. The review scores displayed on e-commerce sites are unreliable. Moreover, the positive comment rate of the e-commerce platform is relatively high.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Wenhua Song AU - Aiming Qin AU - Tiansheng Xu PY - 2020 DA - 2020/04/06 TI - Sentiment Analysis Based on Product Review Data of Chinese Commerce Website of JD BT - Proceedings of the 3rd International Conference on Advances in Management Science and Engineering (IC-AMSE 2020) PB - Atlantis Press SP - 67 EP - 71 SN - 2352-5428 UR - https://doi.org/10.2991/aebmr.k.200402.012 DO - https://doi.org/10.2991/aebmr.k.200402.012 ID - Song2020 ER -