https://github.com/alessiochen/setiment-analysis-ai-project
Application of Sentimental Analysis for Artificial Intelligence class at UNIFI
https://github.com/alessiochen/setiment-analysis-ai-project
ai andrew dataset movie-reviews scikit-learn sentiment-analysis
Last synced: 8 months ago
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Application of Sentimental Analysis for Artificial Intelligence class at UNIFI
- Host: GitHub
- URL: https://github.com/alessiochen/setiment-analysis-ai-project
- Owner: AlessioChen
- Created: 2020-08-23T13:46:50.000Z (about 5 years ago)
- Default Branch: master
- Last Pushed: 2020-09-04T10:09:49.000Z (about 5 years ago)
- Last Synced: 2025-01-05T10:31:44.633Z (9 months ago)
- Topics: ai, andrew, dataset, movie-reviews, scikit-learn, sentiment-analysis
- Language: Jupyter Notebook
- Homepage:
- Size: 191 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.MD
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README
# Sentimental Analysis on IMDB Movie Reviews
This project written in python is about testing two classifiers for Machine Learning , Perceptron and Naive Bayes, using the implementation from Scikit-Learn.
The goal is to make sentiment analysis of movie reviews. The dataset used is the Large Movie Review Dataset v1.0.
## Dataset
The dataset i have used can be downloaded from the following link:
* [http://ai.stanford.edu/~amaas/data/sentiment/](http://ai.stanford.edu/~amaas/data/sentiment/)
## Requirements
* scikit-learn
* numpy
* matplotlib
* itertools
## Results
To replicate the result you need to download the dataset from the link and unzip it in the data/ folder.
Check the projectReport file for more details.
## References
* [http://ai.stanford.edu/~amaas//papers/wvSent_acl2011](http://ai.stanford.edu/~amaas//papers/wvSent_acl2011.pdf) - Andrew L. Maas, Raymond E. Daly, Peter T. Pham, Dan Huang,
Andrew Y. Ng, and Christopher Potts