Micky373 / end_to_end_sentiment_analysis

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.

End to end sentiment analysis

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.

Built With

• Python, HTML, CSS, JavaScript, jQuery
• Flask

Getting Started

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

Author

• GitHub: @GitHub

• LinkedIn: LinkedIn

🤝 Contributing

Contributions, issues, and feature requests are welcome!

Feel free to check the issues page.

Show your support

Give a ⭐️ if you like this project!

Acknowledgments

• Special thanks to Yaswanth Sai Palaghat
• The UI implementation and code flow done with the help of this course