D3.5 Topic Modeling Service
José Antonio Espinosa-Melchor, Lorena Calvo-Bartolomé, Jerónimo Arenas‐García · Zenodo (CERN European Organization for Nuclear Research) · 2022
One of the main services in IntelComp is topic modeling, whose objective is to carry out an unsupervised analysis of any set of documents, extracting from a direct analysis of the text the main themes the collection of documents deals with, and the relation of each analyzed document with the identified topics. This service is a python-based toolbox, available at https://github.com/IntelCompH2020/ topicmodeler. This document provides information about said toolbox, including a review of the techniques implemented, the description of the architecture of the software, and manuals for the users of the tool.