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157431

A survey on Sentimental Analysis algorithms and techniques

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Last updated: 27 Dec 2024

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Abstract

Social web has been the lead of data in recent years. The data on social
web simulates the customer reviews, comments, and opinions of people about
products, opinion, events, etc. The automatic mining technique that is used to
gather and analyze text and classify it into positive, negative and neutral is called
Sentimental analysis using Natural language processing. The main objective of this
paper is to give explain insights on SA algorithms and techniques.

DOI

10.21608/asc.2020.157431

Keywords

Sentimental Analysis (SA), natural language processing, Opinion Mining

Volume

10

Article Issue

1

Related Issue

17801

Issue Date

2019-05-01

Receive Date

2021-03-17

Publish Date

2019-05-01

Page Start

99

Page End

112

Print ISSN

1687-8515

Online ISSN

2682-3578

Article File

ASC_Volume 10_Issue 1_Pages 99-112.pdf

PDF . 641.5kB

Link

https://asc.journals.ekb.eg/article_157431.html

Detail API

https://asc.journals.ekb.eg/service?article_code=157431

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6

Type

Original Article

Type Code

1,549

Publication Type

Journal

Publication Title

Journal of the ACS Advances in Computer Science

Publication Link

https://asc.journals.ekb.eg/

MainTitle

A survey on Sentimental Analysis algorithms and techniques

Details

Type

Article

Created At

23 Jan 2023