Sentiment Analysis Machine Learning

I am always into the open-source arena. An open-source project always allowed me to think outside the box, and always influenced me to learn new technologies to solve new problems.

This project is based on sentiment-analysis, the goal of this project is to identify the disaster tweet.

As part of this project, I used python also used frameworks like sci-kit-learn, pandas, seaborn, cuda.

The Biggest challenge I have faced during this project was during the data training. Where I have to use google cloud platform to train my Algorithm with Limited amount Computing power.

I was able to finish this project with 91% accuracy. Which put me onto the top 5% percent in the world rank at Kaggle Competition.

Built With

• machine-learning
• natural-language-processing
• python
• scikit-learn