Paper Info
Title
Subjectivity and sentiment analysis: An overview of the current state of the area and envisaged developments
Abstract
In this introduction, we present an overview of the current state of research in the Natural Language Processing tasks of subjectivity and sentiment analysis, as well as their application domains and closely-related research field of emotion detection. Although many definitions exist for these tasks and the research done within their frame spans over approaches with different objectives, we consider subjectivity analysis to deal with the detection of ''private states'' (opinions, emotions, sentiments, beliefs, speculations) and sentiment analysis as the task of detecting, extracting and classifying opinions and sentiments concerning different topics, as expressed in textual input. After describing the key concepts and research directions in these tasks, we present the main achievements obtained so far and the issues that remain to be tackled. Subsequently, we introduce each of the papers in this volume and present their contribution to the research areas of subjectivity and sentiment analysis. Finally, we conclude on the present state of work in these fields and reflect on the possible future developments.
Year
DOI
Venue
2012
10.1016/j.dss.2012.05.022
Decision Support Systems
Keywords
Field
DocType
different objective,research direction,present state,closely-related research field,subjectivity analysis,different topic,research area,emotion detection,current state,sentiment analysis,opinion mining,text mining
Data science,Subjectivity analysis,Data mining,Text mining,Computer science,Social media mining,Subjectivity,Sentiment analysis,Emotion detection
Journal
Volume
Issue
ISSN
53
4
0167-9236
Citations 
PageRank 
References 
49
1.44
11
Authors
3
Name
Order
Citations
PageRank
Andrés Montoyo167867.78
Patricio Martínez-Barco228243.37
Alexandra Balahur359340.19