Intelligent Hybrid Feature Selection for Textual Sentiment Classification

<p dir="ltr">Sentiment Analysis (SA) aims to extract useful information from online Unstructured User-Generated Contents (UUGC) and classify them into positive and negative classes. State-of-the-art techniques for SA suffer a high dimensional feature space because of noisy and irrele...

Full description

Saved in:

Bibliographic Details
Main Author:	Jawad Khan (6422669) (author)
Other Authors:	Aftab Alam (5158601) (author), Youngmoon Lee (19570210) (author)
Published:	2021
Subjects:	Information and computing sciences Machine learning Feature extraction Support vector machines Motion pictures Entropy Sentiment analysis Semantics Social networking (online) Sentiment classification hybrid feature selection ensemble learning linguistic semantic rules wide coverage sentiment lexicons natural language processing
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!

Intelligent Hybrid Feature Selection for Textual Sentiment Classification

Similar Items