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  Published Paper Details:

  Paper Title

PREDICTION OF THE PERSONAL ATTRIBUTE OF TWITTER USER USING MACHINE LEARNING AND NATURAL LANGUAGE PROCESSING

  Authors

  Shubhada Pandurang Marwadkar,  Vikas N. Honmane

  Keywords

- Personal attribute, Machine Learning, Natural Language Processing, Deep Learning

  Abstract


In modern society, a large number of communications and interactions take place on various social media platforms such as Twitter and Facebook. For privacy reasons personally identifiable information like gender, age, and occupation class of people is not available publicly. But the precise prediction of such information is relevant in the area of advertising, forensics, and business intelligence. In recent years user-generated text and content have grown exponentially mainly in the form of blogs, tweets, comments, and social networking messages. The rise in textual data has sparked interest in inducing user attributes such as age, gender, occupation using various machine learning algorithms, and pre-processing of natural language processing.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2009237

  Paper ID - 198086

  Page Number(s) - 1859-1865

  Pubished in - Volume 8 | Issue 9 | September 2020

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Shubhada Pandurang Marwadkar,  Vikas N. Honmane,   "PREDICTION OF THE PERSONAL ATTRIBUTE OF TWITTER USER USING MACHINE LEARNING AND NATURAL LANGUAGE PROCESSING ", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 9, pp.1859-1865, September 2020, Available at :http://www.ijcrt.org/papers/IJCRT2009237.pdf

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ISSN: 2320-2882
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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
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