Linking News Sentiment to Microblogs: A Distributional Semantics Approach to Enhance Microblog Sentiment Classification

Tobias Daudert; Paul Buitelaar

doi:10.18653/v1/P17

Linking News Sentiment to Microblogs: A Distributional Semantics Approach to Enhance Microblog Sentiment Classification

Tobias Daudert
, Paul Buitelaar

University of Galway

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

4 Citations (Scopus)

Abstract

Social media's popularity in society and research is gaining momentum and simultaneously increasing the importance of short textual content such as microblogs. Microblogs are affected by many factors including the news media, therefore, we exploit sentiments conveyed from news to detect and classify sentiment in microblogs. Given that texts can deal with the same entity but might not be vastly related when it comes to sentiment, it becomes necessary to introduce further measures ensuring the relatedness of texts while leveraging the contained sentiments. This paper describes ongoing research introducing distributional semantics to improve the exploitation of news-contained sentiment to enhance microblog sentiment classification.

Original language	English
Title of host publication	WASSA 2018 - 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Proceedings of the Workshop
Publisher	Association for Computational Linguistics (ACL)
Pages	107-115
Number of pages	9
ISBN (Electronic)	9781948087803
DOIs	https://doi.org/10.18653/v1/P17
Publication status	Published - 2018
Event	9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, WASSA 2018 - Brussels, Belgium Duration: 31 Oct 2018 → …

Publication series

Name	WASSA 2018 - 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Proceedings of the Workshop

Conference

Conference	9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, WASSA 2018
Country/Territory	Belgium
City	Brussels
Period	31/10/18 → …

Access to Document

10.18653/v1/P17

Cite this

Daudert, T., & Buitelaar, P. (2018). Linking News Sentiment to Microblogs: A Distributional Semantics Approach to Enhance Microblog Sentiment Classification. In WASSA 2018 - 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Proceedings of the Workshop (pp. 107-115). (WASSA 2018 - 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Proceedings of the Workshop). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/P17

Daudert, Tobias ; Buitelaar, Paul. / Linking News Sentiment to Microblogs : A Distributional Semantics Approach to Enhance Microblog Sentiment Classification. WASSA 2018 - 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Proceedings of the Workshop. Association for Computational Linguistics (ACL), 2018. pp. 107-115 (WASSA 2018 - 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Proceedings of the Workshop).

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title = "Linking News Sentiment to Microblogs: A Distributional Semantics Approach to Enhance Microblog Sentiment Classification",

abstract = "Social media's popularity in society and research is gaining momentum and simultaneously increasing the importance of short textual content such as microblogs. Microblogs are affected by many factors including the news media, therefore, we exploit sentiments conveyed from news to detect and classify sentiment in microblogs. Given that texts can deal with the same entity but might not be vastly related when it comes to sentiment, it becomes necessary to introduce further measures ensuring the relatedness of texts while leveraging the contained sentiments. This paper describes ongoing research introducing distributional semantics to improve the exploitation of news-contained sentiment to enhance microblog sentiment classification.",

author = "Tobias Daudert and Paul Buitelaar",

note = "Publisher Copyright: {\textcopyright} 2018 Association for Computational Linguistics; 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, WASSA 2018 ; Conference date: 31-10-2018",

year = "2018",

doi = "10.18653/v1/P17",

language = "English",

series = "WASSA 2018 - 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Proceedings of the Workshop",

publisher = "Association for Computational Linguistics (ACL)",

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booktitle = "WASSA 2018 - 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Proceedings of the Workshop",

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Daudert, T & Buitelaar, P 2018, Linking News Sentiment to Microblogs: A Distributional Semantics Approach to Enhance Microblog Sentiment Classification. in WASSA 2018 - 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Proceedings of the Workshop. WASSA 2018 - 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Proceedings of the Workshop, Association for Computational Linguistics (ACL), pp. 107-115, 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, WASSA 2018, Brussels, Belgium, 31/10/18. https://doi.org/10.18653/v1/P17

Linking News Sentiment to Microblogs: A Distributional Semantics Approach to Enhance Microblog Sentiment Classification. / Daudert, Tobias; Buitelaar, Paul.
WASSA 2018 - 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Proceedings of the Workshop. Association for Computational Linguistics (ACL), 2018. p. 107-115 (WASSA 2018 - 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Proceedings of the Workshop).

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

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AB - Social media's popularity in society and research is gaining momentum and simultaneously increasing the importance of short textual content such as microblogs. Microblogs are affected by many factors including the news media, therefore, we exploit sentiments conveyed from news to detect and classify sentiment in microblogs. Given that texts can deal with the same entity but might not be vastly related when it comes to sentiment, it becomes necessary to introduce further measures ensuring the relatedness of texts while leveraging the contained sentiments. This paper describes ongoing research introducing distributional semantics to improve the exploitation of news-contained sentiment to enhance microblog sentiment classification.

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DO - 10.18653/v1/P17

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Daudert T, Buitelaar P. Linking News Sentiment to Microblogs: A Distributional Semantics Approach to Enhance Microblog Sentiment Classification. In WASSA 2018 - 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Proceedings of the Workshop. Association for Computational Linguistics (ACL). 2018. p. 107-115. (WASSA 2018 - 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Proceedings of the Workshop). doi: 10.18653/v1/P17

Linking News Sentiment to Microblogs: A Distributional Semantics Approach to Enhance Microblog Sentiment Classification

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