research-article

Developing Corpora for Sentiment Analysis: The Case of Irony and Senti-TUT

Authors:

Cristina Bosco,

Viviana Patti,

Andrea BolioliAuthors Info & Claims

IEEE Intelligent Systems, Volume 28, Issue 2

Pages 55 - 63

https://doi.org/10.1109/MIS.2013.28

Published: 01 March 2013 Publication History

Abstract

Senti-TUT—an ongoing Italian project that investigates sentiment and irony in online political discussions—illustrates how to develop corpora for mining and analyzing opinion and sentiment in social media.

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Prasanna MShaila SVadivel A(2023)Polarity classification on twitter data for classifying sarcasm using clause pattern for sentiment analysisMultimedia Tools and Applications10.1007/s11042-023-14909-w82:21(32789-32825)Online publication date: 2-Mar-2023
https://dl.acm.org/doi/10.1007/s11042-023-14909-w
Baishya KYadav MDugar A(2022)Decoding Customer Opinion for Products or Brands Using Social Media AnalyticsInternational Journal of Intelligent Information Technologies10.4018/IJIIT.29627118:2(1-20)Online publication date: 1-Apr-2022
https://dl.acm.org/doi/10.4018/IJIIT.296271
Dogra VVerma SKavita Chatterjee PShafi JChoi JIjaz M(2022)A Complete Process of Text Classification System Using State-of-the-Art NLP ModelsComputational Intelligence and Neuroscience10.1155/2022/18836982022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/1883698
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Developing Corpora for Sentiment Analysis: The Case of Irony and Senti-TUT
1. Hardware
  1. Power and energy
    1. Power estimation and optimization

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Published In

IEEE Intelligent Systems Volume 28, Issue 2

March 2013

103 pages

ISSN:1541-1672

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Publisher

IEEE Educational Activities Department

United States

Publication History

Published: 01 March 2013

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Prasanna MShaila SVadivel A(2023)Polarity classification on twitter data for classifying sarcasm using clause pattern for sentiment analysisMultimedia Tools and Applications10.1007/s11042-023-14909-w82:21(32789-32825)Online publication date: 2-Mar-2023
https://dl.acm.org/doi/10.1007/s11042-023-14909-w
Baishya KYadav MDugar A(2022)Decoding Customer Opinion for Products or Brands Using Social Media AnalyticsInternational Journal of Intelligent Information Technologies10.4018/IJIIT.29627118:2(1-20)Online publication date: 1-Apr-2022
https://dl.acm.org/doi/10.4018/IJIIT.296271
Dogra VVerma SKavita Chatterjee PShafi JChoi JIjaz M(2022)A Complete Process of Text Classification System Using State-of-the-Art NLP ModelsComputational Intelligence and Neuroscience10.1155/2022/18836982022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/1883698
Iqbal MDas ASharif OHoque MSarker I(2022)BEmoC: A Corpus for Identifying Emotion in Bengali TextsSN Computer Science10.1007/s42979-022-01028-w3:2Online publication date: 17-Jan-2022
https://dl.acm.org/doi/10.1007/s42979-022-01028-w
Behera RBala PRana NKizgin H(2022)A Techno-Business Platform to Improve Customer Experience Following the Brand Crisis Recovery: A B2B PerspectiveInformation Systems Frontiers10.1007/s10796-021-10231-824:6(2027-2051)Online publication date: 15-Jan-2022
https://dl.acm.org/doi/10.1007/s10796-021-10231-8
Novielli NCalefato FLanubile FSerebrenik A(2021)Assessment of off-the-shelf SE-specific sentiment analysis tools: An extended replication studyEmpirical Software Engineering10.1007/s10664-021-09960-w26:4Online publication date: 1-Jul-2021
https://dl.acm.org/doi/10.1007/s10664-021-09960-w
Braun Nvan der Lee CGatti LGoudbeek MKrahmer E(2021)MEmoFC: introducing the Multilingual Emotional Football CorpusLanguage Resources and Evaluation10.1007/s10579-020-09508-255:2(389-430)Online publication date: 1-Jun-2021
https://dl.acm.org/doi/10.1007/s10579-020-09508-2
Cortis KDavis B(2021)Over a decade of social opinion mining: a systematic reviewArtificial Intelligence Review10.1007/s10462-021-10030-254:7(4873-4965)Online publication date: 1-Oct-2021
https://dl.acm.org/doi/10.1007/s10462-021-10030-2
Antici FBolognini LInajetovic MIvasiuk BGalassi ARuggeri F(2021)SubjectivITA: An Italian Corpus for Subjectivity Detection in NewspapersExperimental IR Meets Multilinguality, Multimodality, and Interaction10.1007/978-3-030-85251-1_4(40-52)Online publication date: 21-Sep-2021
https://dl.acm.org/doi/10.1007/978-3-030-85251-1_4
Abulaish MKamal AZaki M(2020)A Survey of Figurative Language and Its Computational Detection in Online Social NetworksACM Transactions on the Web10.1145/337554714:1(1-52)Online publication date: 7-Feb-2020
https://dl.acm.org/doi/10.1145/3375547
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