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Major topic detection and its application to opinion summarization

Published: 15 August 2005 Publication History

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References

[1]
Dave, K., Lawrence, S., and Pennock, D.M. Mining the peanut gallery: Opinion extraction and semantic classification of product reviews. WWW 2003, pp 519--528.
[2]
Fukumoto, F. and Suzuki, Y. Event Tracking based on domain dependency. SIGIR 2000, pp 57--64.
[3]
Morinaga, S., Yamanishi, K., Tateishi, K. and Fukushima, T. Mining product reputations on the web. ACM SIGKDD 2002, pp 341--349.
[4]
Soboroff, I. and Harman, D. Overview of the TREC 2003 novelty track. The Twelfth Text REtrieval Conference, National Institute of Standards and Technology, pp 38--53.

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      cover image ACM Conferences
      SIGIR '05: Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
      August 2005
      708 pages
      ISBN:1595930345
      DOI:10.1145/1076034
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Publication History

      Published: 15 August 2005

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      Author Tags

      1. opinion summarization
      2. sentence retrieval
      3. topic detection

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      • (2024)Applying advanced sentiment analysis for strategic marketing insights: A case study of BBVA using machine learning techniquesInnovative Marketing10.21511/im.20(2).2024.0920:2(100-115)Online publication date: 17-Apr-2024
      • (2024)Trends and challenges in sentiment summarization: a systematic review of aspect extraction techniquesKnowledge and Information Systems10.1007/s10115-024-02075-w66:7(3671-3717)Online publication date: 9-May-2024
      • (2023)Cross-Media Topic Detection: Approaches, Challenges, and ApplicationsComputer Vision and Machine Intelligence10.1007/978-981-19-7867-8_45(565-576)Online publication date: 6-May-2023
      • (2021)Automatic Summarization on Restaurants Opinion MiningInternational Journal of Scientific Research in Science and Technology10.32628/IJSRST218414(30-35)Online publication date: 1-Jul-2021
      • (2017)Big data analysis to Features Opinions Extraction of customerProcedia Computer Science10.1016/j.procs.2017.08.114112:C(906-916)Online publication date: 1-Sep-2017
      • (2016)Cleaning and Sentiment Tasks for News Transcript DataProceedings of the First International Conference on Computational Intelligence and Informatics10.1007/978-981-10-2471-9_19(189-200)Online publication date: 1-Dec-2016
      • (2016)A New Big Data Framework for Customer Opinions Polarity ExtractionBeyond Databases, Architectures and Structures. Advanced Technologies for Data Mining and Knowledge Discovery10.1007/978-3-319-34099-9_40(518-531)Online publication date: 28-Apr-2016
      • (2015)Using Wikipedia Categories for Discovering the Themes of Text DocumentsProceedings of the 2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics - Volume 0110.1109/IHMSC.2015.68(452-455)Online publication date: 26-Aug-2015
      • (2015)Mining Newsworthy Topics from Social MediaAdvances in Social Media Analysis10.1007/978-3-319-18458-6_2(21-43)Online publication date: 6-Jun-2015
      • (2013)যন্ত্র-না (Jantra-Na Not-Machine) Can Only Feel যন্ত্রনা (Jantrana Pain)!Technical Challenges and Design Issues in Bangla Language Processing10.4018/978-1-4666-3970-6.ch015(328-345)Online publication date: 2013
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