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  Published Paper Details:

  Paper Title

SENTIMENT ANALYSIS FOR SOCIAL MEDIA

  Authors

  Gaurav Umesh Awate,  Rushikesh Sanjay Dhus,  Sanket Rajendra Gaikwad,  Rohit Ravindra Lonkar,  Prof. S.R. Bhujbal

  Keywords

Face Detection, Word Processing & Analysis, Video Processing, Machine Learning.

  Abstract


Sentiment analysis is a popular topic in the big data era. In the business world, there is an increasing need for analyzing and characterizing the public's attitude towards new products. Therefore, sentiment analysis with real-time social data can be a useful tool for business marketing. In this project, a sentiment analysis was performed with real-time Social site data that contains customized keywords. There are three parts of this article: i) fetching real-time data online with keywords; ii) applying sentiment analysis with Twitter data and visualize each sentimental category with word clouds; iii) for ease of use, wrapping the sentiment analysis into an interactive dashboard, so users can customize keywords and get the real-time application data.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2401768

  Paper ID - 250374

  Page Number(s) - g504-g508

  Pubished in - Volume 12 | Issue 1 | January 2024

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Gaurav Umesh Awate,  Rushikesh Sanjay Dhus,  Sanket Rajendra Gaikwad,  Rohit Ravindra Lonkar,  Prof. S.R. Bhujbal,   "SENTIMENT ANALYSIS FOR SOCIAL MEDIA", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 1, pp.g504-g508, January 2024, Available at :http://www.ijcrt.org/papers/IJCRT2401768.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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