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(2023): 5.941 | Impact Factor(2024): 6.230

ABSTRACT


LEVERAGING THE DATA MINING TOOLS AND TECHNIQUES FOR ENHANCING THE EFFICACY OF SENTIMENT ANALYSIS AND COMMENSURATE CROWD MANAGEMENT

Bhavay Bajaj

Vol. 4, Issue 1, Jan-Dec 2018

Page Number: 307 - 316

Abstract:

Today, numerous clients utilize informal communication locales, for example, Facebook, Twitter, Linked In, and so forth, where client's offer their viewpoint on a specific occasion or explicit circumstance. This paper centres around Crowd the board and control utilizing feeling investigation. Clog in the jam-packed region is distinguished is noted through popular suppositions made on long range interpersonal communication destinations. The popular conclusions are vague, and it isn't easy to examine the circumstance physically or through basic calculations. People groups post their inclination through Twitter, Linked In, and so forth. Their reaction to a particular case is either sure, negative or unbiased. The general sentiments are then gathered, handled and examined utilizing information mining methods. In this paper, the Sentiment examination is finished by rule-based calculation. We can move the group to an uncrowded area by test swarmed region to keep away from an unfortunate circumstance.

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