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Exploiting 5W annotations for opinion tracking

Authors:

Amitava Das,

Björn GambäckAuthors Info & Claims

ESAIR '12: Proceedings of the fifth workshop on Exploiting semantic annotations in information retrieval

Pages 3 - 4

https://doi.org/10.1145/2390148.2390151

Published: 02 November 2012 Publication History

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Abstract

A system performing sentiment analysis needs some prior knowledge which can be acquired, for example, by manual annotation only or by expanding a human-annotated sentiment lexicon by automatic means. However, users are seldom interested in all sentimental aspects at once, but rather look for opinion changes of some person ("Who") during some time period ("When") and depending upon "What", "Where" or "Why" something happened. The paper describes the work necessary to obtain and utilize such 5W annotations.

References

[1]

A. Das, S. Bandyopadhyay, and B. Gambäck. The 5W structure for sentiment summarization-visualization-tracking. 13th Int. Conf. on Intelligent Text Processing and Computational Linguistics, pp. 540--555, New Delhi, India. 2012. Springer.

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[2]

A. Das, A. Ghosh, and S. Bandyopadhyay. Semantic role labeling for Bengali noun using 5Ws: Who, What, When, Where and Why. 6th Int. Conf. on Natural Language Processing and Knowledge Engineering, pp. 1--8, Beijing, China, 2010. IEEE.

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[3]

S.-M. Kim and E. Hovy. Determining the sentiment of opinions. 20th Int. Conf. on Computational Linguistics, pp. 1367--1373, Geneva, Switzerland, 2004. ACL.

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[4]

N. Kobayashi, R. Iida, K. Inui, and Y. Matsumoto. Opinion extraction using a learning-based anaphora resolution technique. 2nd Int. Joint Conf. on Natural Language Processing, pp. 175--180, Jeju Island, Republic of Korea, 2005. Springer.

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[5]

L.-W. Ku, L.-Y. Lee, T.-H. Wu, and H.-H. Chen. Major topic detection and its application to opinion summarization. 28th Int. Conf. on Research and Development in Information Retrieval, pp. 627--628, Salvador, Brazil, 2005. ACM SIGIR.

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Cited By

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Kamps JKarlgren JMika PMurdock V(2012)Report on the fifth workshop on exploiting semantic annotations in information retrieval (ESAIR'12)ACM SIGIR Forum10.1145/2492189.249219647:1(38-45)Online publication date: 7-Jun-2012
https://dl.acm.org/doi/10.1145/2492189.2492196
Kamps JKarlgren JMika PMurdock VChen XLebanon GWang HZaki M(2012)Fifth workshop on exploiting semantic annotations in information retrievalProceedings of the 21st ACM international conference on Information and knowledge management10.1145/2396761.2398761(2772-2773)Online publication date: 29-Oct-2012
https://dl.acm.org/doi/10.1145/2396761.2398761

Index Terms

Exploiting 5W annotations for opinion tracking
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing
      1. Language resources
2. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Clustering and classification
  2. Information systems applications
    1. Data mining
      1. Clustering

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Published In

ESAIR '12: Proceedings of the fifth workshop on Exploiting semantic annotations in information retrieval

November 2012

28 pages

ISBN:9781450317177

DOI:10.1145/2390148

Program Chairs:
Jaap Kamps
University of Amsterdam, The Netherlands
,
Jussi Karlgren
Gavagai Stockholm, Sweden
,
Peter Mika
Yahoo! Research Barcelona, Spain
,
Vanessa Murdock
Bing, Bellevue, WA, USA

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 November 2012

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CIKM'12

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CIKM'12: 21st ACM International Conference on Information and Knowledge Management

November 2, 2012

Hawaii, Maui, USA

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Overall Acceptance Rate 35 of 55 submissions, 64%

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Kamps JKarlgren JMika PMurdock V(2012)Report on the fifth workshop on exploiting semantic annotations in information retrieval (ESAIR'12)ACM SIGIR Forum10.1145/2492189.249219647:1(38-45)Online publication date: 7-Jun-2012
https://dl.acm.org/doi/10.1145/2492189.2492196
Kamps JKarlgren JMika PMurdock VChen XLebanon GWang HZaki M(2012)Fifth workshop on exploiting semantic annotations in information retrievalProceedings of the 21st ACM international conference on Information and knowledge management10.1145/2396761.2398761(2772-2773)Online publication date: 29-Oct-2012
https://dl.acm.org/doi/10.1145/2396761.2398761

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Recommendations

Opinion summarization on spontaneous conversations

A study of inter-annotator agreement for opinion retrieval

Detection of web users' opinion from multimodal opinion elements

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