Swarm Intelligence Based Nature Inspired Metaheuristics Used for Selecting Features in Opinion Mining

5 Pages Posted: 3 Apr 2020

See all articles by Nupur Bali

Nupur Bali

Shri Mata Vaishno Devi University (SMVDU-India)

Sunanda Gupta

Shri Mata Vaishno Devi University (SMVDU-India)

Date Written: April 2, 2020

Abstract

As the technology has developed with an immense speed it has also given the people the freedom to express their thoughts and views openly in front of the world giving each user an equal right to share and express their feelings as a result of which a lot of data is generated every second in the form of reviews, ratings, and comments which can be positive or negative. So it becomes very necessary to analyze these unstructured and homogenous posts properly. The objective of the paper is to review mainly various existing Swarm intelligence based nature inspired metaheuristic algorithms which are used for selecting features in sentiment analysis.

Suggested Citation

Bali, Nupur and Gupta, Sunanda, Swarm Intelligence Based Nature Inspired Metaheuristics Used for Selecting Features in Opinion Mining (April 2, 2020). Proceedings of the International Conference on Innovative Computing & Communications (ICICC) 2020, Available at SSRN: https://ssrn.com/abstract=3566789 or http://dx.doi.org/10.2139/ssrn.3566789

Nupur Bali (Contact Author)

Shri Mata Vaishno Devi University (SMVDU-India) ( email )

Kashmir
India

Sunanda Gupta

Shri Mata Vaishno Devi University (SMVDU-India) ( email )

Shri Mata Vaishno Devi University Campus
Sub-Post Office
Katra, Jammu and Kashmir 182320
India

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