Proceedings ArticleDOI
Major topic detection and its application to opinion summarization
Lun-Wei Ku,Li-Ying Lee,Tung-Ho Wu,Hsin-Hsi Chen +3 more
- pp 627-628
About:
This article is published in International ACM SIGIR Conference on Research and Development in Information Retrieval.The article was published on 2005-08-15. It has received 71 citations till now. The article focuses on the topics: Automatic summarization & Multi-document summarization.read more
Citations
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Opinion Mining and Sentiment Analysis
Bo Pang,Lillian Lee +1 more
TL;DR: This survey covers techniques and approaches that promise to directly enable opinion-oriented information-seeking systems and focuses on methods that seek to address the new challenges raised by sentiment-aware applications, as compared to those that are already present in more traditional fact-based analysis.
Proceedings Article
Opinion Extraction, Summarization and Tracking in News and Blog Corpora.
TL;DR: Both news and web blog articles are investigated and algorithms for opinion extraction at word, sentence and document level are proposed, and the issue of relevant sentence selection is discussed, and then topical and opinionated information are summarized.
Journal ArticleDOI
A survey on sentiment detection of reviews
TL;DR: This survey discusses related issues and main approaches to these problems, namely, subjectivity classification, word sentiment classification, document sentiment classification and opinion extraction.
Journal ArticleDOI
Survey on mining subjective data on the web
TL;DR: The development of Sentiment Analysis and Opinion Mining during the last years are reviewed, and the evolution of a relatively new research direction is discussed, namely, Contradiction Analysis.
Journal ArticleDOI
Subjectivity and sentiment analysis: An overview of the current state of the area and envisaged developments
TL;DR: This introduction presents an overview of the current state of research in the Natural Language Processing tasks of subjectivity and sentiment analysis, as well as their application domains and closely-related research field of emotion detection.
References
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Proceedings ArticleDOI
Mining the peanut gallery: opinion extraction and semantic classification of product reviews
TL;DR: This work develops a method for automatically distinguishing between positive and negative reviews and draws on information retrieval techniques for feature extraction and scoring, and the results for various metrics and heuristics vary depending on the testing situation.
Proceedings ArticleDOI
Mining product reputations on the Web
TL;DR: A new framework for mining product reputations on the Internet is presented, which offers a drastic reduction in the overall cost of reputation analysis over that of conventional survey approaches and supports the discovery of knowledge from the pool of opinions on the web.
Proceedings Article
Overview of the TREC 2003 Novelty Track
Ian Soboroff,Donna Harman +1 more
TL;DR: The unit of retrieval is used as the sen-tence in order to standardize the task across a variety of passage retrieval approaches, as well as to simplify the evaluation of the novelty track.
Proceedings ArticleDOI
Event tracking based on domain dependency
Fumiyo Fukumoto,Yoshimi Suzuki +1 more
TL;DR: The method for event tracking on broadcast news stories based on distinction between a topic and an event using a simple criterion called domain dependency of words: how greatly a word features a given set of data is proposed.