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What emotions do news articles trigger in their readers?

Published: 23 July 2007 Publication History

Abstract

We study the classification of news articles into emotions they invoke in their readers. Our work differs from previous studies, which focused on the classification of documents into their authors' emotions instead of the readers'. We use various combinations of feature sets to find the best combination for identifying the emotional influences of news articles on readers.

References

[1]
Yang, C.H. and Chen, H.H. A study of emotion classification using blog articles. In Proceedings of 18th ROCLING Conference, September 7th-8th, 2006, Taiwan, 253--269.
[2]
Yang, C.H., Lin, K.H.Y. and Chen, H.H. Building emotion lexicon from Weblog corpora. In Proceedings of 45th Annual Meeting of Association for Computational Linguistics, poster, June 23rd--30th, 2007, Prague, Czech Republic.

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  • (2023)Unimodal approaches for emotion recognitionCognitive Systems Research10.1016/j.cogsys.2022.10.01277:C(94-109)Online publication date: 1-Jan-2023
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Published In

cover image ACM Conferences
SIGIR '07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
July 2007
946 pages
ISBN:9781595935977
DOI:10.1145/1277741
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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 July 2007

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Author Tags

  1. news articles
  2. reader-emotion classification
  3. text classification

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SIGIR07
Sponsor:
SIGIR07: The 30th Annual International SIGIR Conference
July 23 - 27, 2007
Amsterdam, The Netherlands

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Overall Acceptance Rate 792 of 3,983 submissions, 20%

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Cited By

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  • (2024)LCSEP: A Large-Scale Chinese Dataset for Social Emotion Prediction to Online Trending TopicsIEEE Transactions on Computational Social Systems10.1109/TCSS.2023.333429611:3(3362-3375)Online publication date: Jun-2024
  • (2024)Temporal and Sentimental Analysis of Customer Reviews2024 14th International Conference on Cloud Computing, Data Science & Engineering (Confluence)10.1109/Confluence60223.2024.10463473(520-525)Online publication date: 18-Jan-2024
  • (2023)Unimodal approaches for emotion recognitionCognitive Systems Research10.1016/j.cogsys.2022.10.01277:C(94-109)Online publication date: 1-Jan-2023
  • (2022)Transfer Learning model for Social Emotion Prediction using Writers Emotions in Comments2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA)10.1109/ICMLA55696.2022.00063(396-400)Online publication date: Dec-2022
  • (2022)Sarcasm Over Time and Across Platforms: Does the Way We Express Sarcasm Change?IEEE Access10.1109/ACCESS.2022.317486210(55958-55987)Online publication date: 2022
  • (2021)Türkçe Haber Metinlerinin Çok Terimli Naive Bayes Algoritması Kullanılarak SınıflandırılmasıFırat Üniversitesi Mühendislik Bilimleri Dergisi10.35234/fumbd.87198633:2(519-526)Online publication date: 15-Sep-2021
  • (2021)Phrase-level sentence patterns for estimating positive and negative emotions using Neuro-fuzzy model for information retrieval applicationsMultimedia Tools and Applications10.1007/s11042-020-10422-6Online publication date: 5-Mar-2021
  • (2021)Multi-label Emotion Classification of Tweets Using Machine LearningProceedings of the International Conference on Big Data, IoT, and Machine Learning10.1007/978-981-16-6636-0_53(705-722)Online publication date: 4-Dec-2021
  • (2021)PROMO for Interpretable Personalized Social Emotion MiningMachine Learning and Knowledge Discovery in Databases10.1007/978-3-030-67658-2_15(249-265)Online publication date: 25-Feb-2021
  • (2020)Document Classification Based on semantic and Improved Convolutional Neural NetworkProceedings of the 2020 4th International Conference on Deep Learning Technologies10.1145/3417188.3417196(129-134)Online publication date: 10-Jul-2020
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