A survey on Sentimental Analysis algorithms and techniques
(2019). A survey on Sentimental Analysis algorithms and techniques. EKB Journal Management System, 10(1), 99-112. doi: 10.21608/asc.2020.157431
. "A survey on Sentimental Analysis algorithms and techniques". EKB Journal Management System, 10, 1, 2019, 99-112. doi: 10.21608/asc.2020.157431
(2019). 'A survey on Sentimental Analysis algorithms and techniques', EKB Journal Management System, 10(1), pp. 99-112. doi: 10.21608/asc.2020.157431
A survey on Sentimental Analysis algorithms and techniques. EKB Journal Management System, 2019; 10(1): 99-112. doi: 10.21608/asc.2020.157431

A survey on Sentimental Analysis algorithms and techniques

Journal of the ACS Advances in Computer Science
Article 6, Volume 10, Issue 1, 2019, Page 99-112  XML PDF (626.49 K)
Document Type: Original Article
DOI: 10.21608/asc.2020.157431
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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.
Keywords
Sentimental Analysis (SA); Natural language processing; Opinion Mining
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