1,721,075 research outputs found
"LA MIA BIBLIOTECA E'...' UN APPROCCIO NON SUPERVISIONATO ALLA SENTIMENT ANALYSIS PER MISURARE L'UMORE DEGLI UTENTI
Un capitale intellettuale da valorizzare: indagine conoscitiva sul fenomeno della fuga dei cervelli all’estero
Centrality measures for text clustering
Text clustering is an unsupervised process of classifying texts and words into
different groups. In literature, many algorithms use a bag of words model to
represent texts and classify contents. The bag of words model assumes that word
order has no signicance. The aim of this article is to propose a new method of
text clustering, considering links between terms and documents. We use centrality
measures to assess word/text importance in a corpus and to sequentially classify
documents
A new method to measure the quality on teaching evaluation of the university system: the Italian case
Analisi di sensibilità e sostituibilità di indicatori rilevanti per la valutazione del sistema universitario
- …
