Classify sentiment of the test dataset with your own method and reach the best accuracy
data/full_train.txt
contains 25000 documents, the first 12500 are positive, the last 12500 are negative
data/full_test.text
contains 25000 documents to assess, the first 12500 are positive, the last 12500 are negative
- Fork the project via
github
- Clone your forked repository project https://github.com/YOUR_USERNAME/sentiment-analysis-test
- Commit and push your different modifications
- Don't forget to explain how to run your code and/or get your results
- Explain your choices, why you did things this way (in a file or in comments or the way you want)