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Mining Incomplete Data Using Global and Saturated Probabilistic Approximations Based on Characteristic Sets and Maximal Consistent Blocks Read chapter Read first chapter

2021 | OriginalPaper | Chapter

Tolerance-Based Short Text Sentiment Classifier

Authors : Vrushang Patel, Sheela Ramanna

Published in: Rough Sets

Publisher: Springer International Publishing

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Abstract

Sentiment classification identifies the polarity of text such as positive, negative or neutral based on textual features. A tolerance near set-based text classifier (TSC) is introduced in this paper to classify sentiment polarities of text with vectors from a pre-trained SBERT algorithm. One of the datasets (Covid-Sentiment) was hand-crafted with tweets from Twitter of opinions related to COVID. Experiments demonstrate that TSC outperforms five classical ML algorithms with one dataset, and is comparable with all other datasets using a weighted F1-score.

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previous chapter Three-Way Decisions Based RNN Models for Sentiment Classification
next chapter Knowledge Graph Representation Learning for Link Prediction with Three-Way Decisions
Footnotes
Literature
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Chen, E., Lerman, K., Ferrara, E.: Tracking social media discourse about the COVID-19 pandemic: development of a public coronavirus twitter data set. JMIR Public Health Surveill. 6(2), e19273 (2020)
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Giachanou, A., Crestani, F.: Like it or not: a survey of twitter sentiment analysis methods. ACM Comput. Surv. 49(2), 46 (2016)
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Minaee, S., Kalchbrenner, N., Cambria, E., Nikzad, N., Chenaghlu, M., Gao, J.: Deep learning based text classification: a comprehensive review. ACM Comput. Surv. (CSUR) 54(3), 1–40 (2021)CrossRef
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Peters, J.: Tolerance near sets and image correspondence. Int. J. Bio-Inspired Comput. 1(4), 239–245 (2009)CrossRef
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Poli, G., et al.: Solar flare detection system based on tolerance near sets in a GPU-CUDA framework. Knowl.-Based Syst. J. 70, 345–360 (2014)CrossRef
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Reimers, N., Gurevych, I.: Sentence-bert: sentence embeddings using siamese bert-networks. In: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics (2019). https://​arxiv.​org/​abs/​1908.​10084
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Metadata
Title
Tolerance-Based Short Text Sentiment Classifier
Authors
Vrushang Patel
Sheela Ramanna
Copyright Year
2021
Book
Rough Sets

Print ISBN: 978-3-030-87333-2

Electronic ISBN: 978-3-030-87334-9

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-3-030-87334-9_22

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