Health-Related Tweets Classification: A Survey

3Citations
Citations of this article
6Readers
Mendeley users who have this article in their library.
Get full text

Abstract

With the rise of social media platforms, a lot of data is available online in the form of tweets, reviews and posts. The data shared includes text related to health domain also. Due to the richness of information available in the shared texts, research community started to utilize this shared text in various applications like Pharmacovigilance. Even though research community started to develop systems to automatically classify health-related tweets, there is no paper which provides a review of various systems developed for automatic health-related tweets classification. In this survey paper, we provide a review of systems developed for health-related tweets classification.

Cite

CITATION STYLE

APA

Srinivasulu, K. (2021). Health-Related Tweets Classification: A Survey. In Advances in Intelligent Systems and Computing (Vol. 1245, pp. 259–268). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-15-7234-0_22

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free