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Sentiment Analysis of Movie Reviews using Machine Learning Techniques
| Content Provider | Semantic Scholar |
|---|---|
| Author | Baid, Palak Gupta, Apoorva Chaplot, Neelam |
| Copyright Year | 2017 |
| Abstract | Sentiment analysis is the analysis of emotions and opinions from any form of text. Sentiment analysis is also termed as opinion mining. Sentiment analysis of the data is very useful to express the opinion of the mass or group or any individual. This technique is used to find the sentiment of the person with respect to a given source of content. Social media and other online platforms contain a huge amount of the data in the form of tweets, blogs, and updates on the status, posts, etc. In this paper, we have analyzed the Movie reviews using various techniques like Naïve Bayes, K-Nearest Neighbour and Random Forest. |
| Starting Page | 45 |
| Ending Page | 49 |
| Page Count | 5 |
| File Format | PDF HTM / HTML |
| DOI | 10.5120/ijca2017916005 |
| Volume Number | 179 |
| Alternate Webpage(s) | https://www.ijcaonline.org/archives/volume179/number7/28752-28752-2017916005?format=pdf |
| Alternate Webpage(s) | https://doi.org/10.5120/ijca2017916005 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
