Understanding Customer Sentiment with NLP from Sparse Labelled Data

Anthology ID:: 2024.swisstext-1.41
Volume:: Proceedings of the 9th edition of the Swiss Text Analytics Conference
Month:: June
Year:: 2024
Address:: Chur, Switzerland
Editors:: Capol Corsin, Cieliebak Mark, Weichselbraun Albert, Musat Claudiu, Maier Elisabeth, Zimmermann Lucas
Venue:: SwissText
SIG:: SIGSEM
Publisher:: Association for Computational Linguistics
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Pages:: 189
Language:
URL:: https://preview.aclanthology.org/add_missing_videos/2024.swisstext-1.41/
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Cite (ACL):: Daniel Perruchoud and Joseph Weibel. 2024. Understanding Customer Sentiment with NLP from Sparse Labelled Data. In Proceedings of the 9th edition of the Swiss Text Analytics Conference, pages 189–189, Chur, Switzerland. Association for Computational Linguistics.
Cite (Informal):: Understanding Customer Sentiment with NLP from Sparse Labelled Data (Perruchoud & Weibel, SwissText 2024)
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PDF:: https://preview.aclanthology.org/add_missing_videos/2024.swisstext-1.41.pdf