Word to sentence level emotion tagging for Bengali blogs
ACLShort '09 Proceedings of the ACL-IJCNLP 2009 Conference Short Papers
Last but definitely not least: on the role of the last sentence in automatic polarity-classification
ACLShort '10 Proceedings of the ACL 2010 Conference Short Papers
Summarizing threads in blogs using opinion polarity
eETTs '09 Proceedings of the Workshop on Events in Emerging Text Types
Twitter based system: Using Twitter for disambiguating sentiment ambiguous adjectives
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
Adaptive feedback selection for intelligent tutoring systems
Expert Systems with Applications: An International Journal
Temporal analysis of sentiment events: a visual realization and tracking
CICLing'11 Proceedings of the 12th international conference on Computational linguistics and intelligent text processing - Volume Part I
Sentence to document level emotion tagging - a coarse-grained study on Bengali Blogs
MCPR'10 Proceedings of the 2nd Mexican conference on Pattern recognition: Advances in pattern recognition
MemeTube: a sentiment-based audiovisual system for analyzing and displaying microblog messages
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: Systems Demonstrations
Fast learning for sentiment analysis on bullying
Proceedings of the First International Workshop on Issues of Sentiment Discovery and Opinion Mining
Emotion tracking on blogs - a case study for bengali
IEA/AIE'12 Proceedings of the 25th international conference on Industrial Engineering and Other Applications of Applied Intelligent Systems: advanced research in applied artificial intelligence
Emotion detection state of the art
Proceedings of the CUBE International Information Technology Conference
A high-order hidden Markov model for emotion detection from textual data
PKAW'12 Proceedings of the 12th Pacific Rim conference on Knowledge Management and Acquisition for Intelligent Systems
Keyword-Based Sentiment Mining using Twitter
International Journal of Ambient Computing and Intelligence
Hi-index | 0.00 |
In this paper, we investigate the emotion classification of web blog corpora using support vector machine (SVM) and conditional random field (CRF) machine learning techniques. The emotion classifiers are trained at the sentence level and applied to the document level. Our methods also determine an emotion category by taking the context of a sentence into account. Experiments show that CRF classifiers outperform SVM classifiers. When applying emotion classification to a blog at the document level, the emotion of the last sentence in a document plays an important role in determining the overall emotion.