An aspect-level sentiment analysis dataset for therapies on Twitter

The dataset described is an aspect-level sentiment analysis dataset for therapies, including medication, behavioral and other therapies, created by leveraging user-generated text from Twitter. The dataset was constructed by collecting Twitter posts using keywords associated with the therapies (often...

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Bibliographic Details

Published in:	Data in Brief
Main Authors:	Yuting Guo, Sudeshna Das, Sahithi Lakamana, Abeed Sarker
Format:	Article
Language:	English
Published:	Elsevier 2023-10-01
Subjects:	Text classification Sentiment analysis Therapy Natural language processing Machine learning Biomedical informatics
Online Access:	http://www.sciencedirect.com/science/article/pii/S2352340923007035