Ontology highlight
ABSTRACT:
SUBMITTER: Mendoza Urdiales RA
PROVIDER: S-EPMC8459996 | biostudies-literature | 2021
REPOSITORIES: biostudies-literature
Mendoza Urdiales Román Alejandro RA García-Medina Andrés A Nuñez Mora José Antonio JA
PloS one 20210923 9
Transfer Entropy was applied to analyze the correlations and flow of information between 200,500 tweets and 23 of the largest capitalized companies during 6 years along the period 2013-2018. The set of tweets were obtained applying a text mining algorithm and classified according to daily date and company mentioned. We proposed the construction of a Sentiment Index applying a Natural Processing Language algorithm and structuring the sentiment polarity for each data set. Bootstrapped Simulations ...[more]