Paper Info
Title
Adapting Freely Available Resources to Build an Opinion Mining Pipeline in Portuguese.
Abstract
We present a complete UIMA-based pipeline for sentiment analysis in Portuguese news using freely available resources and a minimal set of manually annotated training data. We obtained good precision on binary classification but concluded that news feed is a challenging environment to detect the extent of opinionated text.
Year
Venue
Keywords
2014
LREC 2014 - NINTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION
Sentiment Analisys,UIMA,NLP pipeline,Opinion Mining
Field
DocType
Citations 
Training set,Binary classification,Sentiment analysis,Computer science,Portuguese,Challenging environment,Artificial intelligence,Natural language processing
Conference
0
PageRank 
References 
Authors
0.34
8
2
Name
Order
Citations
PageRank
Patrik Lambert127723.36
Carlos Rodríguez Penagos218215.09