- 期刊
Summary of Sentiment Analysis of Online Product Reviews
摘要
In e-commerce services, the influence of online comments of users on consumers' purchase decisions and business behaviors is increasingly prominent. How to use this important online text data to mine users' emotional tendencies has become the focus of academic and industry attention. After sorting out the literature, this paper combs out a fine-grained hierarchical emotional analysis business process of online comments, based on this process, the research and development status in this field is analyzed, which provides reference for future research.
參考文獻
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延伸閱讀
- Qi, Z. (2021). Analysis of the Effect of Online Reviews on Consumer Intention. Frontiers in Economics and Management, 2(4), 90-98. https://doi.org/10.6981/FEM.202104_2(4).0013
- 楊亨利、林青峰（2018）。Functional Product Recommendation System Based on Sentiment Mining from Web Reviews。資訊管理學報，25(3)，335-361。https://www.airitilibrary.com/Article/Detail?DocID=16085752-201807-201911110007-201911110007-335-361
- 陳怡蓓（2015）。A Sentiment-Based Model for Credible Online Reviews〔碩士論文，淡江大學〕。華藝線上圖書館。https://doi.org/10.6846/TKU.2015.00545
- Zhang, W., Li, X., & Liu, W. (2022). A Review of Text Sentiment Analysis. International Journal of Social Science and Education Research, 5(9), 23-28. https://doi.org/10.6918/IJOSSER.202209_5(9).0004
- 林岳達（2017）。Sentiment Analysis with Deep Learning for Consumer Review on Social Media〔碩士論文，淡江大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0002-1907201712215900