Modeling Topics in DFA-Based Lemmatized Gujarati Text

Modeling Topics in DFA-Based Lemmatized Gujarati Text

Topic modeling is a machine learning algorithm based on statistics that follows unsupervised machine learning techniques for mapping a high-dimensional corpus to a low-dimensional topical subspace, but it could be better. A topic model’s topic is expected to be interpretable as a concept, i.e., corr...

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Bibliographic Details
Main Authors: Uttam Chauhan, Shrusti Shah, Dharati Shiroya, Dipti Solanki, Zeel Patel, Jitendra Bhatia, Sudeep Tanwar, Ravi Sharma, Verdes Marina, Maria Simona Raboaca
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Sensors
Subjects:
topic models
Gujarati text lemmatization
Latent Dirichlet Allocation
poor quality topics
overly general topics
Online Access:https://www.mdpi.com/1424-8220/23/5/2708

Internet

https://www.mdpi.com/1424-8220/23/5/2708

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