- Project ID: 30
- Team number: 7
- Team name: Random_team_0
- Project title: Detecting rumor and stance (bias) jointly by Neural Multi-Task Learning
- Animesh Das (20161302)
- Ali Hussaini (20161204)
- Thapaswini Kancharla (20161066)
- Issac Balaji (20163051)
- Implementing Neural Multi-Task Learning.
- Detecting rumor and stance jointly using the above method.
- Problem is to make a Neural Multi-Task Learning Model to detect rumor and stance jointly.
- We'll first implement baselines for detecting rumours and bias. A good one to go with would be a logistic regression modle.
- A further extension, which involves has been provided in the following paper: http://delivery.acm.org/10.1145/3190000/3188729/p585-ma.pdf
- We choose to implement two out of the many models given in this paper.
- A good place to start would be collecting data from Twitter as specified in section 6.1 of the above-mentioned paper.
- Accuracy and confusion matrix.
- Not yet decided.
- Data collection:
- Rumor: 18-03-2019
- Stance: 20-03-2019
- Model build: Not yet decided.
- Testing phase: Not yet decided.