Topic modeling and sentiment analysis of Rappler economic news headlines

Topic modeling and sentiment analysis of Rappler economic news headlines

Dettagli Bibliografici
Autore principale: Cruz, Noeliza S. (Autore)
Natura: Libro
Lingua:English
Pubblicazione: Quezon City University of the Philippines Diliman 2020
Soggetti:
Sentiment analysis.
Support vector machines.
Topic modeling.
Correlated topic model.
Naive Bayes.
Rappler.
News headlines.