In this project I used textblob library in Python and tried to do some analysis on the text provided. I summerized the text, find out the sentiment and also point out the subjectivity of the text. I implemented a simple UI using HTML,CSS,JavaScript and also Flask as my API handling back end tool.
- Python, HTML, CSS, JavaScript, jQuery
- Flask
git clone
https://github.com/Micky373/end_to_end_sentiment_analysis.git
cd end_to_end_sentiment_analysis
pip install -r requirements.txt
python app.py
Then go and on any browser put this link (http://localhost:5000/)
Then put any text in the text area then click submit
Then the result will be shown shortly
More clear discription about how the textblob implementation in the sentiment analysis can be found in the notebooks folder. There is a notebook called sentiment_analysis.ipynb
Contributions, issues, and feature requests are welcome!
Feel free to check the issues page.
Give a ⭐️ if you like this project!
- Special thanks to Yaswanth Sai Palaghat
- The UI implementation and code flow done with the help of this course