Tesi etd-06272022-101213 |
Link copiato negli appunti
Tipo di tesi
Tesi di laurea magistrale
Autore
SOMENZI, MIRIANA
URN
etd-06272022-101213
Titolo
Can language be modelled through Network Science? A Textual Forma Mentis Network case study
Dipartimento
FILOLOGIA, LETTERATURA E LINGUISTICA
Corso di studi
INFORMATICA UMANISTICA
Relatori
relatore Prof. Rossetti, Giulio
Parole chiave
- language modelling
- network science
- sentiment analysis
- psycholinguistics
Data inizio appello
11/07/2022
Consultabilità
Non consultabile
Data di rilascio
11/07/2062
Riassunto
Starting from the intuition that semantic relationships among words are usually measured by vectors and space-closeness we decided to see if language and semantic relationships among words could also be modelled through Network Science tools, in particular through Textual Forma Mentis Networks, taking words as nodes and semantic information as links and performing some network science measurements together with sentiment analysis and a bit of language processing on a textual dataset about addiction taken from Reddit, to see if we could successfully model discourse and mindsets of people discussing online about this specific topic
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