Survey on Sentiment Analysis Using Machine Learning
| Main Authors: | Parth Deshmukh, Adesh Gadge, Aniket Ganbote, Swapnali Garud, Prof. D. S. Kulkarni |
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| Format: | Article |
| Bahasa: | eng |
| Terbitan: |
, 2019
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/2614704 |
Daftar Isi:
- 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.