MAT JOURNALS
Published March 29, 2019 | Version v1
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Survey on Sentiment Analysis Using Machine Learning

Creators

  • 1. Student, Department Of Computer Engineering, Dr. D. Y. Patil College Of Engineering, Savitribai Phule Pune University, Ambi, Pune, India
  • 2. Professor, Department Of Computer Engineering, Dr. D. Y. Patil College Of Engineering, Savitribai Phule Pune University, Ambi, Pune, India

Description

Sentiment Analysis is the mining of opinions, sentiments & subjectivity of the context. It is the process of computationally identifying & categorizing opinions expressed in a piece of text, especially in order to determine whether the writer's attitude towards a particular topic, product, etc. is positive, negative, or neutral. Sentiment Analysis (SA) or Opinion Mining (OM) is the study of people’s opinions, monitoring social media & other online resources for customer reviews to understand customer understanding of significant in business analysis. SA or OM is used over a large area so that peoples can make an effective type of decision from other people’s reviews. SA plays important role in our day to day life while taking decisions about buying online products & for movie reviews. It is field of study that identifies & extracts subjective information from structured & unstructured texts.

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References

  • Jha, V&ana, N. Manjunath, P. Deepa Shenoy, K. R. Venugopal, & Lalit M. Patnaik. "Homs: Hindi opinion mining system." In Recent Trends in Information Systems (ReTIS), 2015 IEEE 2nd International Conference on, pp. 366-371. IEEE, 2015.
  • Sitaram, Dinkar, Savitha Murthy, Debraj Ray, Devansh Sharma, & Kashyap Dhar. "Sentiment analysis of mixed language employing Hindi-English code switching." In Machine Learning & Cybernetics (ICMLC), 2015 International Conference on, vol. 1, pp. 271-276. IEEE, 2015.
  • Sharma, Richa, Shweta Nigam, & Rekha Jain. "Opinion mining in Hindi language: a survey." arXiv preprint arXiv: 1404.4935 (2014).
  • Nair, Deepu S., Jisha P. Jayan, & Elizabeth Sherly. "SentiMa-sentiment extraction for Malayalam." In Advances in Computing, Communications & Informatics (ICACCI), 2014 International Conference on, pp. 1719-1723. IEEE, 2014.
  • Nair, Deepu S., Jisha P. Jayan, R. R. Rajeev, & Elizabeth Sherly. "Sentiment Analysis of Malayalam film review using machine learning techniques." In Advances in Computing, Communications & Informatics (ICACCI), 2015 International Conference on, pp. 2381-2384. IEEE, 2015.
  • Ms. A. M. Abirami Dept. of Information Technol, Ms.V.Gayathri, "A SURVEY ON SENTIMENT ANALYSIS METHODS & APPROACH", 2016 IEEE Eighth International Conference on Advanced Computing (ICoAC)
  • Snehal V. Pawar, Prof. Swati Mali," Sentiment Analysis in Marathi Language" International Journal on Recent & Innovation Trends in Computing & Communication.

Subjects

Electronics
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