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A proposal for efficient automatic summarization of online product reviews

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Workshops ICDCN '18: Proceedings of the Workshop Program of the 19th International Conference on Distributed Computing and Networking

Article No.: 25, Pages 1 - 2

https://doi.org/10.1145/3170521.3170546

Published: 04 January 2018 Publication History

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Abstract

A popular application of social data mining is sentiment detection or opinion analysis of consumer products or social events. In this work, a proposal for automatic summarization of a set of online review data on a particular consumer product is outlined so that the overall quality of the product can be assessed without going through all the reviews manually one by one. In this approach the most discussed aspects of the products will be highlighted in a constructed manner.

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Evimaria Terzi Panayiotis Tsaparas, Alexandros Ntoulas. 2011. Selecting a comprehensive Set of Reviews. In Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining, Vol. 3. 168--176.

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Xiaofeng He-Aoying Zhou Rong Zhang, Zhenjie Zhang. 2015. Dish Comment Summarization Based on Bilateral Topic Analysis. In Proceedings of the 31st IEEE International Conference on Data Engineering (ICDE). 483--494.

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Martin Ester Samaneh Moghaddam. 2010. Opinion Digger: An Unsupervised Opinion Miner from Unstructured Product Reviews. In Proceedings of the 19th ACM international conference on Information and knowledge management. 1825--1828.

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Index Terms

A proposal for efficient automatic summarization of online product reviews
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing
      1. Information extraction

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Workshops ICDCN '18: Proceedings of the Workshop Program of the 19th International Conference on Distributed Computing and Networking

January 2018

151 pages

ISBN:9781450363976

DOI:10.1145/3170521

Conference Chair:
Doina Bein
California State University

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

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Published: 04 January 2018

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Workshops ICDCN 2018

Workshops ICDCN 2018: Workshops co-located with the International Conference on Distributed Computing and Networks 2018

January 4 - 7, 2018

Varanasi, India

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Aspect-based extractive summarization of online reviews

Polarized Extractive Summarization of Online Product Reviews

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Aspect-specific polarity-aware summarization of online reviews

Aspect-based extractive summarization of online reviews

Polarized Extractive Summarization of Online Product Reviews

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