Cumulated gain-based evaluation of IR techniques
ACM Transactions on Information Systems (TOIS)
Learning Algorithms for Keyphrase Extraction
Information Retrieval
Using Noun Phrase Heads to Extract Document Keyphrases
AI '00 Proceedings of the 13th Biennial Conference of the Canadian Society on Computational Studies of Intelligence: Advances in Artificial Intelligence
A language model approach to keyphrase extraction
MWE '03 Proceedings of the ACL 2003 workshop on Multiword expressions: analysis, acquisition and treatment - Volume 18
Automatic labeling of multinomial topic models
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Graph-based keyword extraction for single-document summarization
MMIES '08 Proceedings of the Workshop on Multi-source Multilingual Information Extraction and Summarization
TwitterRank: finding topic-sensitive influential twitterers
Proceedings of the third ACM international conference on Web search and data mining
Earthquake shakes Twitter users: real-time event detection by social sensors
Proceedings of the 19th international conference on World wide web
Automatic generation of personalized annotation tags for Twitter users
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Automatic keyphrase extraction via topic decomposition
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Empirical study of topic modeling in Twitter
Proceedings of the First Workshop on Social Media Analytics
Comparing twitter and traditional media using topic models
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Mining contentions from discussions and debates
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Tagging users based on Twitter lists
International Journal of Web Engineering and Technology
Keyphrase extraction through query performance prediction
Journal of Information Science
The role of emotional stability in Twitter conversations
Proceedings of the Workshop on Semantic Analysis in Social Media
NE-Rank: A Novel Graph-Based Keyphrase Extraction in Twitter
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
Personalized time-aware tweets summarization
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
A phrase mining framework for recursive construction of a topical hierarchy
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Towards linking buyers and sellers: detecting commercial Intent on twitter
Proceedings of the 22nd international conference on World Wide Web companion
Can back-of-the-book indexes be automatically created?
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Interest mining from user tweets
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Two Phase Extraction Method for Multi-label Classification of Real Life Tweets
Proceedings of International Conference on Information Integration and Web-based Applications & Services
Learning topical translation model for microblog hashtag suggestion
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Integrating semantic relatedness and words' intrinsic features for keyword extraction
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Topic segmentation and labeling in asynchronous conversations
Journal of Artificial Intelligence Research
Opinion Bias Detection with Social Preference Learning in Social Data
International Journal on Semantic Web & Information Systems
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Summarizing and analyzing Twitter content is an important and challenging task. In this paper, we propose to extract topical keyphrases as one way to summarize Twitter. We propose a context-sensitive topical PageRank method for keyword ranking and a probabilistic scoring function that considers both relevance and interestingness of keyphrases for keyphrase ranking. We evaluate our proposed methods on a large Twitter data set. Experiments show that these methods are very effective for topical keyphrase extraction.