Weakness Finder: Find product weakness from Chinese reviews by using aspects based sentiment analysis-Reference-Cited by-同舟云学术

Weakness Finder: Find product weakness from Chinese reviews by using aspects based sentiment analysis

Published:2012-09 Issue:11 Volume:39 Page:10283-10291
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Zhang Wenhao,Xu Hua,Wan Wei

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference25 articles.

1. Alvarez, M., & Lim, S. (2007). A graph modeling of semantic similarity between words. In International conference on semantic computing( pp. 355–362).

2. Bollegala, D., Matsuo, Y., & Ishizuka, M. (2007). Measuring semantic similarity between words using web search engines. In Proceedings of WWW (Vol. 7, pp. 757–786).

3. A holistic lexicon-based approach to opinion mining;Ding,2008

4. HowNet and the computation of meaning;Dong,2006

5. WordNet: An electronic lexical database;Fellbaum,1998

Cited by 156 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Evaluating service quality of express logistics service based on online reviews using LDA-LSTM;Journal of Management Science and Engineering;2024-09

2. Dynamic Mining of Consumer Demand via Online Hotel Reviews: A Hybrid Method;Journal of Theoretical and Applied Electronic Commerce Research;2024-07-18

3. A Transfer-Based Deep Learning Model for Persian Emotion Classification;Multimedia Tools and Applications;2024-07-04

4. Service quality dimensions in Austrian food retailing – a text mining approach for physical retail stores;The International Review of Retail, Distribution and Consumer Research;2024-06-28

5. Trends of fear and anger on YouTube during the initial stage of the COVID-19 outbreak in South Korea;BMC Public Health;2024-06-04