berksudan/OTMISC-Topic-Modeling-Tool
We created a topic modeling pipeline to evaluate different topic modeling algorithms, including their performance on short and long text, preprocessed and not preprocessed datasets, and with different embedding models. Finally, we summarized the results and suggested how to choose algorithms based on the task.
Jupyter Notebook
Stargazers
- allen7uChina
- bariscanyilmazİstanbul
- ben2vecCDC
- Chau-Nguyen-Bose
- dckakonIIT, University of Dhaka
- HanCreation
- Oguzhanercanhttps://bilgem.tubitak.gov.tr/
- shaistaDev7Pakistan
- stella-gaoAmazon
- tango2University of California, Berkeley
- thealper2Istanbul, Turkey
- tugrulhkarabulutBoğaziçi University
- tugrulzIndiana University
- ygzipekci
- yurisos
- yuyinlangAverbis GmbH (Working student)
- zihanqiuediEdinburgh