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Most Influential CIKM 2006 Paper · 2026-03 edition

Movie Review Mining And Summarization

Li Zhuang; Feng Jing; Xiao-Yan Zhu

Venue
ACM Conference on Information and Knowledge Management (CIKM) 2006
Recognition
Most Influential CIKM 2006 Paper (Rank No. 1)
Edition
2026-03
Impact factor
8
Certificate ID
a54793fdab633c61

Abstract

With the flourish of the Web, online review is becoming a more and more useful and important information resource for people. As a result, automatic review mining and summarization has become a hot research topic recently. Different from traditional text summarization, review mining and summarization aims at extracting the features on which the reviewers express their opinions and determining whether the opinions are positive or negative. In this paper, we focus on a specific domain - movie review. A multi-knowledge based approach is proposed, which integrates WordNet, statistical analysis and movie knowledge. The experimental results show the effectiveness of the proposed approach in movie review mining and summarization.

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