INTERNATIONAL JOURNAL OF INNOVATIONS IN APPLIED SCIENCES & ENGINEERING

International Peer Reviewed (Refereed), Open Access Research Journal

(By Aryavart International University, India)

E-ISSN:2454-9258 | P-ISSN:2454-809X | Estd Year: 2015

Impact Factor(2020): 4.805 | Impact Factor(2021): 5.246

ABSTRACT


EMPLOYABILITY OF MACHINE LEARNING ALGORITHMS IN DEVELOPING EFFECTIVE SENTIMENT ANALYSIS

Shreyansh Balhara

Vol. 5, Jan-Dec 2019

Page Number: 249-255

Abstract:

In this review, Various machine learning methods are used for opinion analysis. For the most part, did feeling examination by using AI classifiers like SVM (support vector machine), Random Forest, Naïve Bayes. In this, we see a few papers that help the new specialists establish an appropriate way to explore further. In this, there is a proposed strategy for the latest research program. Online media is the greatest medium to impart individuals' insights on various subjects. Feeling examination using AI strategies and with no human interference, machines will give individuals a precise opinion. Opinion study transforms text into positive, negative or impartial. Thus, any organization, establishment, or film commentator can take individuals' viewpoints and make further strides, as shown by that.

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