There is an ever-increasing interest in developing statistical tools for extracting information from documental repositories. In a Text Mining frame, a knowledge discovery process usually implies a dimensionality reduction of the vocabulary, via a feature selection and/or a feature extraction. Here we propose a strategy designed for reducing dimensionality through a network-based approach. Network tools allow performing the reduction by considering the most important relations among the terms. The effectiveness of the strategy will be shown on a set of tweets about the 2018 Italian General Election.
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Titolo: | A network approach to dimensionality reduction in Text Mining |
Autori: | |
Data di pubblicazione: | 2018 |
Handle: | http://hdl.handle.net/20.500.11770/286365 |
ISBN: | 9788891910233 |
Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |