Bursty and hierarchical structure in streams
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
On the bursty evolution of blogspace
WWW '03 Proceedings of the 12th international conference on World Wide Web
Accurate methods for the statistics of surprise and coincidence
Computational Linguistics - Special issue on using large corpora: I
Automatically collecting, monitoring, and mining japanese weblogs
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
Computing Attitude and Affect in Text: Theory and Applications (The Information Retrieval Series)
Computing Attitude and Affect in Text: Theory and Applications (The Information Retrieval Series)
Extracting the discussion structure in comments on news-articles
Proceedings of the 9th annual ACM international workshop on Web information and data management
Emotion rating from short blog texts
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Multimodal Signals: Cognitive and Algorithmic Issues
Comparing Chinese and German blogs
Proceedings of the 20th ACM conference on Hypertext and hypermedia
Multilingual subjectivity analysis using machine translation
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Construction of a blog emotion corpus for Chinese emotional expression analysis
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 3 - Volume 3
A blog emotion corpus for emotional expression analysis in Chinese
Computer Speech and Language
Mining user experiences from online forums: an exploration
WSA '10 Proceedings of the NAACL HLT 2010 Workshop on Computational Linguistics in a World of Social Media
Multilingual subjectivity: are more languages better?
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Linking online news and social media
Proceedings of the fourth ACM international conference on Web search and data mining
Enhanced sentiment learning using Twitter hashtags and smileys
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Journal of the American Society for Information Science and Technology
Towards multimodal sentiment analysis: harvesting opinions from the web
ICMI '11 Proceedings of the 13th international conference on multimodal interfaces
Happiness is assortative in online social networks
Artificial Life
Experiments with SVM to classify opinions in different domains
Expert Systems with Applications: An International Journal
An artificial neural network based approach for sentiment analysis of opinionated text
Proceedings of the 2012 ACM Research in Applied Computation Symposium
A document-level sentiment analysis approach using artificial neural network and sentiment lexicons
ACM SIGAPP Applied Computing Review
A multidimensional approach for detecting irony in Twitter
Language Resources and Evaluation
Sense-level subjectivity in a multilingual setting
Computer Speech and Language
Journal of Network and Computer Applications
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We describe a method for discovering irregularities in temporal mood patterns appearing in a large corpus of blog posts, and labeling them with a natural language explanation. Simple techniques based on comparing corpus frequencies, coupled with large quantities of data, are shown to be effective for identifying the events underlying changes in global moods.