College Recommendation with TF-IDF

Authors

  • Vaishnavi Nagose Computer Science And Engineering, SGBAU
  • Anjali Raut Computer Science And Engineering, SGBAU

Keywords:

Opinion Mining, Sentiment Analysis, Comment Classification, Text Mining, Recommendation System, Data Mining

Abstract

Education is the most important factor for growth and development of any nation for that getting appropriate college is most important. Nowadays colleges are rapidly increasing so to attract students college can make fake publicity. To guide candidates to choose an appropriate college TF-IDF technique is used. The term TF-IDF refers to the term frequency-inverse document frequency which is used to calculate the score of the text taken in the form of comments. The main term comment classification is used with classification algorithm. The comment classification leads to the new term sentiment analysis and opinion mining. The opinions are taken in the form of comments.

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Published

2019-05-01

How to Cite

Nagose, V. ., & Raut, A. . (2019). College Recommendation with TF-IDF. International Journal of Technical Innovation in Modern Engineering & Science, 5(5), 107–110. Retrieved from https://ijtimes.com/index.php/ijtimes/article/view/2215