https://github.com/eirinimits/movie_review-opinion_mining
In this project we apply Opinion Mining/Sentiment Analysis Techniques on movie reviews datasets, so as to identify whether a review is possitive or negative (1 or 0)
https://github.com/eirinimits/movie_review-opinion_mining
movie-reviews opinion-mining sentiment-analysis
Last synced: about 2 months ago
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In this project we apply Opinion Mining/Sentiment Analysis Techniques on movie reviews datasets, so as to identify whether a review is possitive or negative (1 or 0)
- Host: GitHub
- URL: https://github.com/eirinimits/movie_review-opinion_mining
- Owner: EiriniMits
- Created: 2017-11-10T08:58:27.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2017-12-12T08:42:31.000Z (over 7 years ago)
- Last Synced: 2025-02-08T03:45:53.053Z (3 months ago)
- Topics: movie-reviews, opinion-mining, sentiment-analysis
- Language: Java
- Homepage:
- Size: 17.4 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Movie_Review-Opinion_Mining
This project was created for academic purposes on the subject of 'Information Retrieval' at the Aristotle University of Thessaloniki.
In this project we apply Opinion Mining/Sentiment Analysis Techniques on movie reviews datasets, so as to identify whether a review is possitive or negative (1 or 0). Opinion mining provides a set of tools and techniques for extracting and classifying subjective information form the contents.
This project implements two Supervised Opinion Mining Techniques:
* Naïve Bayes
* K-Nearest-Neighbors