A tweet sentiment classification approach using an ensemble classifier

Social media users are more receptive to products or events and share their thoughts through raw textual data, which is classified as semi-structured data. This data, which is presented using a variety of terminologies, is noisy by nature but yet contains important information and superfluous detail...

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Bibliographic Details
Published in:	International Journal of Cognitive Computing in Engineering
Main Authors:	Vidyashree KP, Rajendra AB, Gururaj HL, Vinayakumar Ravi, Moez Krichen
Format:	Article
Language:	English
Published:	KeAi Communications Co., Ltd. 2024-01-01
Subjects:	Adaptive boosting Ensemble classifier Sentiment analysis Tweets Twitter API
Online Access:	http://www.sciencedirect.com/science/article/pii/S2666307424000123

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