Crowd Management using Sentiment Analysis

Authors(2) :-Prajaktee S. Rane, Rubeena A. Khan

Today, many users are using Social networking sites such as Facebook, Twitter, LinkedIn etc. where user's give their own opinion on particular event or specific situation. This paper focus on Crowd management and control using sentiment analysis. Congestion in crowded area is identified is noted through public opinions made on social networking sites. The public opinions are ambiguous and it is hard to analyse the situation manually or through simple algorithms. Peoples post their feeling through Twitter, LinkedIn etc. Their response for a specific situation is either positive, negative or neutral. The public opinions are then collected, processed and analysed using data mining techniques. In this paper, Sentiment analysis is done by rule-based algorithm. By analysis crowded area, we can move crowd to uncrowded area to avoid undesirable situation.

Authors and Affiliations

Prajaktee S. Rane
Department of Computer Engineering, Modern Education Society's College of Engineering, Pune, Maharastra, India
Rubeena A. Khan
Department of Computer Engineering, Modern Education Society's College of Engineering, Pune, Maharastra, India

Crowd Management, Sentiment Analysis, Rule-Based Algorithm.

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Publication Details

Published in : Volume 3 | Issue 1 | January-February 2018
Date of Publication : 2018-02-28
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 01-06
Manuscript Number : CSEIT18313
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Prajaktee S. Rane, Rubeena A. Khan, "Crowd Management using Sentiment Analysis", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 1, pp.01-06, January-February-2018.
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