Public Discourse Analysis System

Tweets' topic classification for discourse analysis in Nepali twitter

COVID tweets analysis platform that allows health decision-makers to view a real-time analysis of narratives of tweets, particularly in Nepali and Devanagari scripts.
This project was done as a part of my bachelor’s thesis at Institute of Engineering, Pulchowk Campus while interning at NAAMII.
Collaborators
Supervisors
- Bishesh Khanal, Ph.D
- Aman Shakya, Ph.D

More info here.

References

2022

SMM4H

Rabin Adhikari, Safal Thapaliya, Nirajan Basnet, Samip Poudel, Aman Shakya, and Bishesh Khanal

In Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, Workshop & Shared Task, Oct 2022

arXiv Bib Code Slides Website

@inproceedings{adhikari2022covid,
  title = {COVID-19-related Nepali Tweets Classification in a Low Resource Setting},
  author = {Adhikari, Rabin and Thapaliya, Safal and Basnet, Nirajan and Poudel, Samip and Shakya, Aman and Khanal, Bishesh},
  booktitle = {Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, Workshop \& Shared Task},
  month = oct,
  year = {2022},
  address = {Gyeongju, Republic of Korea},
  publisher = {Association for Computational Linguistics},
  url = {https://aclanthology.org/2022.smm4h-1.52},
  pages = {209--215},
}