標題: Movie Rating and Review Summarization in Mobile Environment
作者: Liu, Chien-Liang
Hsaio, Wen-Hoar
Lee, Chia-Hoang
Lu, Gen-Chi
Jou, Emery
資訊工程學系
Department of Computer Science
關鍵字: Feature extraction;natural language processing (NLP);text analysis;text mining
公開日期: 1-五月-2012
摘要: In this paper, we design and develop a movie-rating and review-summarization system in a mobile environment. The movie-rating information is based on the sentiment-classification result. The condensed descriptions of movie reviews are generated from the feature-based summarization. We propose a novel approach based on latent semantic analysis (LSA) to identify product features. Furthermore, we find away to reduce the size of summary based on the product features obtained from LSA. We consider both sentiment-classification accuracy and system response time to design the system. The rating and review-summarization system can be extended to other product-review domains easily.
URI: http://hdl.handle.net/11536/16001
ISSN: 1094-6977
期刊: IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS
Volume: 42
Issue: 3
結束頁: 397
顯示於類別:期刊論文


文件中的檔案:

  1. 000303069100010.pdf