Sentiment Analysis

About the Project: -

Created a model to predict the tweets sentiment to analyze peoples reaction on some topic and it helps to detect bad or abusive sentenses. The model's accuracy is 94%. I have used Multinomial NB for training the model and have used sklean TfidfVectorizer and nltk for data preprocessing.

Language used: -

Python

FrameWorks: -

numpy, pandas, scikit-learn,

Want to contribute ?

1. Fork the project and clone it.
2. create a different branch.
3. Install the required libraries.
4. change the code.
5. Make sure to follow the PEP-8 style guide.
6. Push the code and make a Pull requests with a brief introduction of the changes made.

Made with ❤️ by Nilavya Das