ALPHA

Inspiration

Detection of sentiments and fine-grained emotions about the disaster management from the tweets

What it does

We got to explore a Disaster tweet data set that is directly related to this problem. From this dataset, we had to identify the sentiments and emotions of the people for every event and the at every location and create data visualizations to represent the insights.

How we built it

1.Analyze dataset

1. Visualization of Keywords
2. Cleaning data
3. Word cloud
4. Tokenization
5. Vectorization
6. Training with a simple model. Perform sentiment analysis and emotion analysis, find out the polarity and create visualizations to represent the insights.
7. Model Metrics (F1)
8. Predictions from the test dataset. ## Challenges we ran into DATA PREPROCESSING PART ## What we learned GREAT LEARNING AND MANAGING TIME ## What's next for ALPHA EXCITED FOR MANY MORE SUCH EXPERIMENTAL EVENTS

Built With

• python