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Forecasting with twitter data

Autor
Arias, M.; Arratia, A.; Xuriguera, Ramon
Tipus d'activitat
Article en revista
Revista
ACM transactions on intelligent systems and technology
Data de publicació
2013-12-01
Volum
5
Número
1
Pàgina inicial
Article No. 8
DOI
https://doi.org/10.1145/2542182.2542190 Obrir en finestra nova
Projecte finançador
LARCA
URL
http://dl.acm.org/citation.cfm?doid=2542182.2542190 Obrir en finestra nova
Resum
The dramatic rise in the use of social network platforms such as Facebook or Twitter has resulted in the availability of vast and growing user-contributed repositories of data. Exploiting this data by extracting useful information from it has become a great challenge in data mining and knowledge discovery. A recently popular way of extracting useful information from social network platforms is to build indicators, often in the form of a time series, of general public mood by means of sentiment a...
Paraules clau
Box office, Forecasting, Sentiment index, Stock market, Twitter
Grup de recerca
LARCA - Laboratori d'Algorísmia Relacional, Complexitat i Aprenentatge

Participants