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Archivio digitale delle tesi discusse presso l’Università di Pisa

Tesi etd-01212018-211807


Tipo di tesi
Tesi di laurea magistrale
Autore
CASTELLANI, ILARIA
URN
etd-01212018-211807
Titolo
Automatic Translation and Technology Intelligence
Dipartimento
INGEGNERIA DELL'ENERGIA, DEI SISTEMI, DEL TERRITORIO E DELLE COSTRUZIONI
Corso di studi
INGEGNERIA GESTIONALE
Relatori
relatore Prof. Bonaccorsi, Andrea
tutor Ing. Chiarello, Filippo
Parole chiave
  • Algorithm
  • Data Mining
  • Google
  • Language
  • Text Mining
Data inizio appello
21/02/2018
Consultabilità
Non consultabile
Data di rilascio
21/02/2088
Riassunto
This thesis has got the aim to show how text mining can be helpful in a project in order to foresee the success of a certain innovation. Indeed, in this elaborate, we will show how important dictionaries, if matched with method and with the help of an important software, will be able to find relevant evidences that can let understand in advance if a certain innovation will be successful or not. In order to achieve this goal, the processes that will be developed will deal with the automatic translation, because of the different languages of the documents that needed to be matched and with the technology intelligence which refers to the text mining application.
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