ToModAPI: A topic modeling API to train, use and compare topic models

Lisena, Pasquale; Harrando, Ismail; Kandakji, Oussama; Troncy, Raphaël
NLP-OSS 2020, 2nd Workshop for Natural Language Processing Open Source Software, 19 November 2020 (Virtual Workshop)

From LDA to neural models, different topic modeling approaches have been proposed in
the literature. However, their suitability and performance is not easy to compare, particularly when the algorithms are being used in the wild on heterogeneous datasets. In this paper, we introduce ToModAPI (TOpic MOdeling API), a wrapper library to easily train, evaluate and infer using different topic modeling algorithms through a unified interface. The library is extensible and can be used in Python environments or through a Web API.

Type:
Conférence
Date:
2020-11-18
Department:
Data Science
Eurecom Ref:
6371

PERMALINK : https://www.eurecom.fr/publication/6371