Evaluating Frequency of words and Word Cloud from Astrological sentiments using NLP

Authors

  • C. N. V. B. R. Sri Gowrinath  Department of MCA, CBIT(A), Hyderabad, Telangana, India
  • Dr. Ch. V. M. K. Hari  Department of Computer Science, Dr. V. S. Krishna Government Degree College, Visakhapatnam, Andhra Pradesh, India
  • Prof. P. G. V. D. Prasad Reddy  Department of Computer Science and Systems Engineering, Andhra University, Visakhapatnam, Andhra Pradesh, India

DOI:

https://doi.org//10.32628/IJSRST2183196

Keywords:

Natural Language Processing, Astrology, Word Cloud, COVID-19, Knowledge Management System, Parsing.

Abstract

The identification of interest/disinterest over a notion is having a huge demand in the current competitive data analytical world. For example, the customer preferences in various seasons, approximate visitors to a tourist place based on scenarios like weather and special occasions in the place, and so on. While giving an opinion on any concept, natural language in form of sentences/words/symbols/ratings plays a vital role. Depends upon the context and usage of natural language, captured opinions can be interpreted as either in a positive or negative sense. The terminology used for providing the opinions is used for analysing the data in an easy way. The evaluation of the word frequencies and word cloud are identified accurately, only after a keen analysis of the collected opinions. The Term-Document Matrix is one of the techniques that identify the frequency of words in each and every document/row in the given dataset, which can be used to generate the word cloud. In this paper to identify the frequency of words from the opinions given by multi-domain personalities on Astrology, distinct Natural Language Processing (NLP) techniques are used. A word cloud can also be generated from the set of words used for the astrological dataset.

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Published

2021-06-30

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Section

Research Articles

How to Cite

[1]
C. N. V. B. R. Sri Gowrinath, Dr. Ch. V. M. K. Hari, Prof. P. G. V. D. Prasad Reddy, " Evaluating Frequency of words and Word Cloud from Astrological sentiments using NLP , International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 8, Issue 3, pp.920-928, May-June-2021. Available at doi : https://doi.org/10.32628/IJSRST2183196