Harvesting opinions in Twitter for sentiment analysis
Abstract:
Sentiment analysis is a very popular technique for social network analysis. One of the most popular social networks for microblogging that has a great growth is Twitter, which allows people to express their opinions using short, simple sentences. These texts are generated daily, and for this reason it is common for people to want to know which are the trending topics and their drifts. In this paper we propose to deploy a mobile app that provides information focusing on areas, such as, Politics, Social, Tourism, and Marketing using a statistical lexicon approach. The application shows the polarity of each theme as positive, negative, or neutral.
Año de publicación:
2018
Keywords:
- lexicon
- sentiment analysis
Fuente:
google
scopus
Tipo de documento:
Conference Object
Estado:
Acceso restringido
Áreas de conocimiento:
- Minería de datos
- Redes sociales
- Ciencias de la computación
Áreas temáticas:
- Programación informática, programas, datos, seguridad