Topic Extraction from News Archive Using TF*PDF Algorithm
WISE '02 Proceedings of the 3rd International Conference on Web Information Systems Engineering
Topic Detection, Tracking, and Trend Analysis Using Self-Organizing Neural Networks
PAKDD '01 Proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining
Bursty and hierarchical structure in streams
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
A Concept-Driven Algorithm for Clustering Search Results
IEEE Intelligent Systems
Finding similar questions in large question and answer archives
Proceedings of the 14th ACM international conference on Information and knowledge management
Topic Detection from Blog Documents Using Users' Interests
MDM '06 Proceedings of the 7th International Conference on Mobile Data Management
Hot Topic Extraction Based on Timeline Analysis and Multidimensional Sentence Modeling
IEEE Transactions on Knowledge and Data Engineering
Discovering authorities in question answer communities by using link analysis
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Recommending questions using the mdl-based tree cut model
Proceedings of the 17th international conference on World Wide Web
Finding the right facts in the crowd: factoid question answering over social media
Proceedings of the 17th international conference on World Wide Web
Predicting information seeker satisfaction in community question answering
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Ontology-Based Topic Extraction Service from Weblogs
ICSC '08 Proceedings of the 2008 IEEE International Conference on Semantic Computing
Topic Navigation Generation Using Topic Extraction and Clustering
KAM '08 Proceedings of the 2008 International Symposium on Knowledge Acquisition and Modeling
Document Clustering for Event Identification and Trend Analysis in Market News
ICAPR '09 Proceedings of the 2009 Seventh International Conference on Advances in Pattern Recognition
Learning to recognize reliable users and content in social media with coupled mutual reinforcement
Proceedings of the 18th international conference on World wide web
Topic evolution prediction of user generated contents considering enterprise generated contents
Proceedings of the First ACM International Workshop on Hot Topics on Interdisciplinary Social Networks Research
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Community question answering (CQA) has recently become a popular social media where users can post questions on any topic of interest and get answers from enthusiasts. The variation of topics in questions and answers indicate the change of users' interests over time. It can help users focus on the most popular products or events and track their changes by exploiting hot topics and analyzing the trend of a specific topic. In this paper, we present a hot topic detection and trend analysis system to capture hot topics in a CQA system and track their evolutions over time. Our system consists of hot term extraction, question clustering and trend analysis. Experimental results using datasets from Yahoo! Answers show that our system can discover meaningful hot topics. We also show that the evolution of topics over time can be accurately exploited by trend graphing.