Paper Info
Title
Opinion Mining on Newspaper Quotations
Abstract
Opinion mining is the task of extracting from a set of documents opinions expressed by a source on a specified target. This article presents a comparative study on the methods and resources that can be employed for mining opinions from quotations (reported speech) in newspaper articles. We show the difficulty of this task, motivated by the presence of different possible targets and the large variety of affect phenomena that quotes contain. We evaluate our approaches using annotated quotations extracted from news provided by the EMM news gathering engine. We conclude that a generic opinion mining system requires both the use of large lexicons, as well as specialised training and testing data.
Year
DOI
Venue
2009
10.1109/WI-IAT.2009.340
Web Intelligence/IAT Workshops
Keywords
Field
DocType
newspaper quotations,affect phenomenon,comparative study,opinion mining,large lexicon,documents opinion,emm news gathering engine,annotated quotation,mining opinion,large variety,generic opinion mining system,displays,search engines,data mining,intelligent agent,speech,sentiment analysis,image analysis
Data mining,Intelligent agent,World Wide Web,Information retrieval,Computer science,Sentiment analysis,Newspaper,Test data,Indirect speech,Media monitoring
Conference
Citations 
PageRank 
References 
29
1.82
18
Authors
5
Name
Order
Citations
PageRank
Alexandra Balahur159340.19
Ralf Steinberger294979.70
Erik Van der Goot322114.88
Bruno Pouliquen467858.19
Mijail Kabadjov517711.93