- π Second-year B.Tech student in Computer Science & Engineering
- π₯ Learning Machine Learning
- π€ AI and Data Science Enthusiast
- π₯οΈ Familiar with Python, C, C++, HTML, CSS, and Java
- π₯οΈ Currently learning Golang and Javascript
- π₯οΈ Familiar with arduino programming
- π Reasonable Web Dev experience
Title | Stars | Technologies |
---|---|---|
SentiToolKit | β 6 |
SentiToolKit is my custom sentiment analysis package on PyPi. It's designed to make text sentiment analysis straightforward and efficient. With SentiToolKit, users can classify text into positive, negative, or neutral sentiment. This toolkit leverages a pre-trained LSTM model and a comprehensive lexicon for reliable results.
- π Word, sentence, and paragraph-level sentiment analysis
- βοΈ Easy integration with Python projects
- πΌ Lightweight and optimized for performance
Find SentiToolKit on PyPi and GitHub!
I'm constantly learning and growing, and I can't wait to collaborate on exciting projects that push the boundaries of what's possible in AI and beyond!