A novel grid-based many-objective swarm intelligence approach for sentiment analysis in social media

Author:

Yildirim GungorORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference60 articles.

1. On the evaluation and combination of state-of-the-art features in Twitter sentiment analysis;Carvalho;Artif. Intell. Rev.,2021

2. A systematic study of sentiment analysis for social media data;Jindal;Mater. Today:. Proc.,2021

3. User’s Review Habits Enhanced Hierarchical Neural Network for Document-Level Sentiment Classification;Chen;Neural Process. Lett.,2021

4. Leveraging semantic features for recommendation: Sentence-level emotion analysis;Yang;Inf. Process. Manage.,2021

5. T. Wilson, J. Wiebe, P. Hoffmann, Recognizing contextual polarity in phrase-level sentiment analysis. In Proceedings of human language technology conference and conference on empirical methods in natural language processing,2005, (pp. 347-354).

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