Sentiment analysis in microblogging: a practical implementation

This paper presents a system that can take short messages relevant to a particular topic from a microblogging service such as Twitter or Facebook, analyze the messages for the sentiments they carry on, and classify them. In particular, the system addresses this problem by retrieving raw data from Tw...

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Detalles Bibliográficos
Autores principales: Cohen, Mauro, Damiani, Pablo, Durandeu, Sebastián, Navas, Renzo, Merlino, Hernán, Fernández, Enrique
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2011
Materias:
Ciencias Informáticas
microblogging
Information Search and Retrieval
Web-based services
NLTK
Python
Twitter
social web
text mining
opinion mining
sentiment classification
sentiment analysis
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/18642
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata

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