Source code for the DisKeyword demo paper. DisKeyword helps you search for topic-relevant hashtags within large tweet corpora.
To get started directly and try out DisKeyword, use this online demo with sample datasets uploaded here.
To run the demo locally, clone this project, and setup your python environment:
python3 -m venv env/
pip install -r requirements.txt
pip install -e .Now, run the web application as follows:
streamlit run web/streamlit_app.pyThe DisKeyword interface now pops up in your browser and is ready to use.
Please cite the following paper if you use this work!
@inproceedings{10.1145/3539597.3573033,
author = {L\'{e}vy, Sacha and Rabbany, Reihaneh},
title = {DisKeyword: Tweet Corpora Exploration for Keyword Selection},
year = {2023},
isbn = {9781450394079},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3539597.3573033},
doi = {10.1145/3539597.3573033},
booktitle = {Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining},
pages = {1136–1139},
numpages = {4},
keywords = {keyword selection, web application, twitter dataset},
location = {Singapore, Singapore},
series = {WSDM '23}
}
- Sacha Lévy (sacha.levy@mail.mcgill.ca)