Topic modeling and sentiment analysis of Rappler economic news headlines

Opis bibliograficzny
1. autor:	Cruz, Noeliza S. (Autor)
Format:	Książka
Język:	English
Wydane:	Quezon City University of the Philippines Diliman 2020
Hasła przedmiotowe:	Sentiment analysis. Support vector machines. Topic modeling. Correlated topic model. Naive Bayes. Rappler. News headlines.