ASCI-COEP / ASCI-COEP/Kaggle-Competitions
Predict which Tweets are about real disasters and which ones are not
- Dominant language
- Jupyter Notebook
- Stars
- 2
- Forks
- 4
- PR merge metrics
- No merged PRs in 30d
Description
**Real or Not? NLP with Disaster Tweets**
In this competition, you’re challenged to build a machine learning model that predicts which Tweets are about real disasters and which ones aren’t.
[This ](https://www.kaggle.com/c/nlp-getting-started) is the kaggle link where you will find the relevant dataset. Also, it will help you to understand the problem statement more clearly.
Contributor guide
No contributing guide indexed for this repository
Research direction
Start with the Kaggle competition link in the issue and read its problem statement and dataset details. The repository language is Jupyter Notebook, but no notebook, file, test, or entry point is named; done would require a repository solution that builds a model to distinguish disaster-related Tweets from other Tweets.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, machine-learning
- Domain
- data, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 25/100