| Reference: | [1]林沛盈(2011)隱藏意見萃取-辨別多世代商品之關鍵特色
[2]Fu, X., Liu, G., Guo, Y., & Wang, Z. (2012). Multi-aspect sentiment analysis for Chinese online social reviews based on topic modeling and HowNet lexicon. Knowledge-Based Systems.
[3] Gu, B., Park, J., & Konana, P. (2012). Research Note—The Impact of External Word-of-Mouth Sources on Retailer Sales of High-Involvement Products. Information Systems Research, 23(1), 182-196.
[4] Zhang, K., Narayanan, R., & Choudhary, A. (2010, June). Voice of the customers: mining online customer reviews for product feature-based ranking.
In3rd Workshop on Online Social Networks.
[5] Yu, J., Zha, Z. J., Wang, M., & Chua, T. S. (2011, June). Aspect Ranking:
Identifying Important Product Aspects from Online Consumer Reviews.
In ACL(pp. 1496-1505).
[6] Zhang, W., Xu, H., & Wan, W. (2012). Weakness Finder: Find product
weakness from Chinese reviews by using aspects based sentiment analysis.
Expert Systems with Applications
[7] Chen, L., Qi, L., & Wang, F. (2012). Comparison of feature-level learning methods for mining online consumer reviews. Expert Systems with Applications, |
