Options
Un approccio integrato tra Sentiment Analysis e Social Network Analysis nell’analisi della diffusione delle opinioni su Twitter
Santelli, Francesco
De Stefano, Domenico
2022
Loading...
e-ISBN
978-88-5511-308-3
Abstract
In this work, we reconstruct the tweet-retweet and tweet-reply relations of opinions about a trending topic on the Twitter platform. We propose a multi-steps approach to derive a signed network expressing the spread of contents and opinions. The first step consists in reducing data dimensionality by means of a clustering procedure on tweets able to identify the concepts they convey. In the second step, focusing on message contents, we adapt different sentiment analysis algorithms in order to determine the sign of both the original tweet (with respect to the trending topic) and the sign of the edge connecting the original tweet to the replies, conditional on the replied tweet. Each tweet will spread its concepts by means of signed retweet and reply relations. The aim is to study the different structure, in terms of both network structure and sentiment, of the signed network related to each concept. A comparative analysis will be possible as well among the various identified signed networks
Series
Ragioni Comuni
Publisher
EUT Edizioni Università di Trieste
Source
Francesco Santelli, Domenico Di Stefano, "Un approccio integrato tra Sentiment Analysis e Social Network Analysis nell’analisi della diffusione delle opinioni su Twitter" in: "Ragioni Comuni 2017 - 2018. Atti del convegno di chiusura delle attività progettuali realizzate tramite assegni di ricerca finanziati dalla Regione Friuli Venezia Giulia ai sensi della LR 34/2015, art.5, c. 29-33. Trieste 30 settembre - 1 ottobre 2021", Trieste, EUT Edizioni Università di Trieste, 2022, pp. 211-229
Languages
it
Rights
Attribution-NonCommercial-NoDerivatives 4.0 Internazionale
File(s)