Assessing agreement on classification tasks: the kappa statistic
Computational Linguistics
Affective computing
Understanding how bloggers feel: recognizing affect in blog posts
CHI '06 Extended Abstracts on Human Factors in Computing Systems
Identifying sources of opinions with conditional random fields and extraction patterns
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Emotions from text: machine learning for text-based emotion prediction
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
What emotions do news articles trigger in their readers?
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Determining Mood for a Blog by Combining Multiple Sources of Evidence
WI '07 Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence
Affective Information Processing and Recognizing Human Emotion
Electronic Notes in Theoretical Computer Science (ENTCS)
Building emotion lexicon from weblog corpora
ACL '07 Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions
Emotion classification using massive examples extracted from the web
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Why are they excited?: identifying and explaining spikes in blog mood levels
EACL '06 Proceedings of the Eleventh Conference of the European Chapter of the Association for Computational Linguistics: Posters & Demonstrations
A hybrid mood classification approach for blog text
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
Identifying expressions of emotion in text
TSD'07 Proceedings of the 10th international conference on Text, speech and dialogue
Emotion estimation system based on emotion occurrence sentence pattern
ICIC'06 Proceedings of the 2006 international conference on Intelligent computing: Part II
Analysis and tracking of emotions in english and bengali texts: a computational approach
Proceedings of the 20th international conference companion on World wide web
Emotion ontology construction from chinese knowledge
CICLing'12 Proceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part I
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
Proceedings of the 21st ACM international conference on Information and knowledge management
Construction and application of chinese emotional corpus
CLSW'12 Proceedings of the 13th Chinese conference on Chinese Lexical Semantics
Predicting reader's emotion on chinese web news articles
ICPCA/SWS'12 Proceedings of the 2012 international conference on Pervasive Computing and the Networked World
Chinese emotion lexicon developing via multi-lingual lexical resources integration
CICLing'13 Proceedings of the 14th international conference on Computational Linguistics and Intelligent Text Processing - Volume 2
Joint learning on sentiment and emotion classification
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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There is plenty of evidence that emotion analysis has many valuable applications. In this study a blog emotion corpus is constructed for Chinese emotional expression analysis. This corpus contains manual annotation of eight emotional categories (expect, joy, love, surprise, anxiety, sorrow, angry and hate), emotion intensity, emotion holder/target, emotional word/phrase, degree word, negative word, conjunction, rhetoric, punctuation and other linguistic expressions that indicate emotion. Annotation agreement analyses for emotion classes and emotional words and phrases are described. Then, using this corpus, we explore emotion expressions in Chinese and present the analyses on them.