A study of retrospective and on-line event detection
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
On-line new event detection and tracking
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Cumulated gain-based evaluation of IR techniques
ACM Transactions on Information Systems (TOIS)
Selecting the right interestingness measure for association patterns
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Online novelty detection on temporal sequences
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Text classification and named entities for new event detection
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
A probabilistic model for retrospective news event detection
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Novelty-based Incremental Document Clustering for On-line Documents
ICDEW '06 Proceedings of the 22nd International Conference on Data Engineering Workshops
ACM Transactions on the Web (TWEB)
StatStream: statistical monitoring of thousands of data streams in real time
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
A comparison of statistical significance tests for information retrieval evaluation
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
BlogScope: a system for online analysis of high volume text streams
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Introduction to Information Retrieval
Introduction to Information Retrieval
Meme-tracking and the dynamics of the news cycle
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Finding the frequent items in streams of data
Communications of the ACM - A View of Parallel Computing
Sifting micro-blogging stream for events of user interest
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Learning similarity metrics for event identification in social media
Proceedings of the third ACM international conference on Web search and data mining
TwitterMonitor: trend detection over the twitter stream
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Emerging topic detection on Twitter based on temporal and social terms evaluation
Proceedings of the Tenth International Workshop on Multimedia Data Mining
Dynamic relationship and event discovery
Proceedings of the fourth ACM international conference on Web search and data mining
Trend analysis model: trend consists of temporal words, topics, and timestamps
Proceedings of the fourth ACM international conference on Web search and data mining
EnBlogue: emergent topic detection in web 2.0 streams
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
Structural trend analysis for online social networks
Proceedings of the VLDB Endowment
Hierarchical clustering in improving microblog stream summarization
CICLing'13 Proceedings of the 14th international conference on Computational Linguistics and Intelligent Text Processing - Volume 2
Event identification for local areas using social media streaming data
Proceedings of the ACM SIGMOD Workshop on Databases and Social Networks
Proceedings of the ACM SIGMOD Workshop on Databases and Social Networks
TUCAN: Twitter user centric ANalyzer
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Report on the first workshop on innovative querying of streams
ACM SIGMOD Record
How the live web feels about events
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Realtime analysis of information diffusion in social media
Proceedings of the VLDB Endowment
SNS-based issue detection and related news summarization scheme
Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication
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With the increasing popularity of Web 2.0 streams, people become overwhelmed by the available information. This is partly countered by tagging blog posts and tweets, so that users can filter messages according to their tags. However, this is insufficient for detecting newly emerging topics that are not reflected by a single tag but are rather expressed by unusual tag combinations. This paper presents enBlogue, an approach for automatically detecting such emergent topics. EnBlogue uses a time-sliding window to compute statistics about tags and tag-pairs. These statistics are then used to identify unusual shifts in correlations, most of the time caused by real-world events. We analyze the strength of these shifts and measure the degree of unpredictability they include, used to rank tag-pairs expressing emergent topics. Additionally, this "indicator of surprise" is carried over to subsequent time points, as user interests do not abruptly vanish from one moment to the other. To avoid monitoring all tag-pairs we can also select a subset of tags, e. g., the most popular or volatile of them, to be used as seed-tags for subsequent pair-wise correlation computations. The system is fully implemented and publicly available on the Web, processing live Twitter data. We present experimental studies based on real world datasets demonstrating both the prediction quality by means of a user study and the efficiency of enBlogue.