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Assessing State-of-the-Art Sentiment Models on State-of-the-Art Sentiment Datasets
Barnes, Jeremy; Klinger, Roman; Schulte im Walde, Sabine (2017): „Assessing State-of-the-Art Sentiment Models on State-of-the-Art Sentiment Datasets“. In: Association for Computational Linguistics S. 2–12, doi: 10.18653/v1/W17-5202.
Faculty/Professorship:
Author:
Title of the compilation:
Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
Editors:
Conference:
8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis ; Copenhagen, Denmark
Publisher Information:
Year of publication:
2017
Pages:
Language:
English
DOI:
Peer Reviewed:
Yes:
International Distribution:
Yes:
Open Access Journal:
Yes:
Type:
Conferenceobject
published:
March 13, 2024
Permalink
https://fis.uni-bamberg.de/handle/uniba/93977