GAWA–A Feature Selection Method for Hybrid Sentiment Classification

GAWA–A Feature Selection Method for Hybrid Sentiment Classification

Sentiment analysis or opinion mining is the key to natural language processing for the extraction of useful information from the text documents of numerous sources. Several different techniques, i.e., simple rule-based to lexicon-based and more sophisticated machine learning algorithms, have been wi...

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Bibliographic Details
Main Authors: Abdur Rasool, Ran Tao, Marjan Kamyab, Shoaib Hayat
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Feature selection
genetic algorithm
hybrid sentiment classification
machine learning algorithms
wrapper approach
Online Access:https://ieeexplore.ieee.org/document/9222172/

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