TLATR: Automatic Topic Labeling Using Automatic (Domain-Specific) Term Recognition

Topic modeling is a probabilistic graphical model for discovering latent topics in text corpora by using multinomial distributions of topics over words. Topic labeling is used to assign meaningful labels for the discovered topics. In this paper, we present a new topic labeling method that uses autom...

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Bibliographic Details
Main Authors: Ciprian-Octavian Truica, Elena-Simona Apostol
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9439519/