research-article

Aspect-based sentence segmentation for sentiment summarization

Authors:

Benjamin K. TsouAuthors Info & Claims

TSA '09: Proceedings of the 1st international CIKM workshop on Topic-sentiment analysis for mass opinion

Pages 65 - 72

https://doi.org/10.1145/1651461.1651474

Published: 06 November 2009 Publication History

Abstract

Aspect-based sentiment summarization systems generally use sentences associated with relevant aspects extracted from the reviews as the basis for summarization. However, in real reviews, a single sentence often exhibits several aspects for opinions. This paper proposes a two-stage segmentation model to address the challenge of identifying multiple single-aspect and single-polarity units in one sentence, namely aspect-based sentence segmentation. Our model deals with both issues of aspect change and polarity change occurring in the input sentence. Experiments on restaurant reviews show that our model outperforms state-of-the-art linear text segmentation methods.

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Cited By

Nath DDwivedi S(2024)Aspect-based sentiment analysis: approaches, applications, challenges and trendsKnowledge and Information Systems10.1007/s10115-024-02200-966:12(7261-7303)Online publication date: 1-Dec-2024
https://dl.acm.org/doi/10.1007/s10115-024-02200-9
Hayatin NAlias SHung L(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
https://doi.org/10.1007/s10115-024-02075-w
Luo Z(2023)Knowledge-guided Aspect-based Summarization2023 International Conference on Communications, Computing and Artificial Intelligence (CCCAI)10.1109/CCCAI59026.2023.00012(17-22)Online publication date: Jun-2023
https://doi.org/10.1109/CCCAI59026.2023.00012
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Index Terms

Aspect-based sentence segmentation for sentiment summarization

Index terms have been assigned to the content through auto-classification.

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Published In

cover image ACM Conferences

TSA '09: Proceedings of the 1st international CIKM workshop on Topic-sentiment analysis for mass opinion

November 2009

94 pages

ISBN:9781605588056

DOI:10.1145/1651461

General Chairs:
Maojin Jiang
Illinois Institute of Technology, USA
,
Bei Yu
Syracuse University, USA
,
Program Chair:
Bei Yu
Syracuse University, USA

Copyright © 2009 ACM.

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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Published: 06 November 2009

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November 6, 2009

Hong Kong, China

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Cited By

Nath DDwivedi S(2024)Aspect-based sentiment analysis: approaches, applications, challenges and trendsKnowledge and Information Systems10.1007/s10115-024-02200-966:12(7261-7303)Online publication date: 1-Dec-2024
https://dl.acm.org/doi/10.1007/s10115-024-02200-9
Hayatin NAlias SHung L(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
https://doi.org/10.1007/s10115-024-02075-w
Luo Z(2023)Knowledge-guided Aspect-based Summarization2023 International Conference on Communications, Computing and Artificial Intelligence (CCCAI)10.1109/CCCAI59026.2023.00012(17-22)Online publication date: Jun-2023
https://doi.org/10.1109/CCCAI59026.2023.00012
Duma RNiu ZNyamawe ATchaye-Kondi JYusuf A(2023)A Deep Hybrid Model for fake review detection by jointly leveraging review text, overall ratings, and aspect ratingsSoft Computing10.1007/s00500-023-07897-427:10(6281-6296)Online publication date: 6-Mar-2023
https://doi.org/10.1007/s00500-023-07897-4
You LPeng QXiong ZHe DQiu MZhang X(2022)Integrating aspect analysis and local outlier factor for intelligent review spam detectionFuture Generation Computer Systems10.1016/j.future.2019.07.044102:C(163-172)Online publication date: 21-Apr-2022
https://dl.acm.org/doi/10.1016/j.future.2019.07.044
Bolea S(2021)Implementation of an Algorithm for Automatic Segmentation of Texts based on Stylometric Analysis2021 7th International Symposium on Electrical and Electronics Engineering (ISEEE)10.1109/ISEEE53383.2021.9628868(1-6)Online publication date: 28-Oct-2021
https://doi.org/10.1109/ISEEE53383.2021.9628868
Sabeeh ADewang R(2018)Comparison, Classification and Survey of Aspect Based Sentiment AnalysisAdvanced Informatics for Computing Research10.1007/978-981-13-3140-4_55(612-629)Online publication date: 12-Dec-2018
https://doi.org/10.1007/978-981-13-3140-4_55
Pak ITeh P(2017)Text Segmentation Techniques: A Critical ReviewInnovative Computing, Optimization and Its Applications10.1007/978-3-319-66984-7_10(167-181)Online publication date: 22-Nov-2017
https://doi.org/10.1007/978-3-319-66984-7_10
Koumpouri AMporas IMegalooikonomou VGeorge GStefanos GLazaros MPanagiotis TCleo S(2015)Feature selection for improving opinion identification from web authors' postsProceedings of the 19th Panhellenic Conference on Informatics10.1145/2801948.2802026(117-122)Online publication date: 1-Oct-2015
https://dl.acm.org/doi/10.1145/2801948.2802026
Koumpouri AMporas IMegalooikonomou V(2015)Evaluation of Four Approaches for "Sentiment Analysis on Movie Reviews"Proceedings of the 16th International Conference on Engineering Applications of Neural Networks (INNS)10.1145/2797143.2797182(1-5)Online publication date: 25-Sep-2015
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