Using Twitter sentiment and emotions analysis of Google Trends for decisions making

Purpose An ever-growing body of knowledge demonstrates the correlation among real-world phenomena and search query data issued on Google, as showed in the literature survey introduced in the following. The purpose of this paper is to introduce a pipeline, implemented as a web service, which, startin...

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Veröffentlicht in:	Program : electronic library and information systems 2017-09, Vol.51 (3), p.322-350
Hauptverfasser:	D’Avanzo, Ernesto, Pilato, Giovanni, Lytras, Miltiadis
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial intelligence Bayesian analysis Business intelligence Data mining Decision analysis Decision making Digital media Emotions Epidemiology Fear Foreclosure Hypotheses Information Retrieval Intelligence Keywords Least Squares Statistics Machine learning Modules Monitoring Natural language processing Predictor Variables Public opinion Queries Regression (Statistics) Search engines Sentiment analysis Social Media Social networks Statistical Analysis Trends Validity Websites
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