Opinion observer: analyzing and comparing opinions on the Web
WWW '05 Proceedings of the 14th international conference on World Wide Web
Thumbs up?: sentiment classification using machine learning techniques
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Identifying comparative sentences in text documents
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Rated aspect summarization of short comments
Proceedings of the 18th international conference on World wide web
Mining opinions in comparative sentences
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Voice of the customers: mining online customer reviews for product feature-based ranking
WOSN'10 Proceedings of the 3rd conference on Online social networks
Hi-index | 0.00 |
This paper proposes a novel Product Comparison approach. The comparative relations between products are first mined from both user reviews on multiple review websites and community-based question answering pairs containing product comparison information. A unified graph model is then developed to integrate the resultant comparative relations for product comparison. Experiments on popular electronic products show that the proposed approach outperforms the state-of-the-art methods.