Detecting online commercial intention (OCI)
Proceedings of the 15th international conference on World Wide Web
Web spam detection via commercial intent analysis
AIRWeb '07 Proceedings of the 3rd international workshop on Adversarial information retrieval on the web
Term-based commercial intent analysis
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Analyzing human intentions in natural language text
Proceedings of the fifth international conference on Knowledge capture
Earthquake shakes Twitter users: real-time event detection by social sensors
Proceedings of the 19th international conference on World wide web
Ready to buy or just browsing?: detecting web searcher goals from interaction data
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Topical keyphrase extraction from Twitter
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Acquiring knowledge about human goals from Search Query Logs
Information Processing and Management: an International Journal
Automatic detection of political opinions in tweets
ESWC'11 Proceedings of the 8th international conference on The Semantic Web
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Since more and more people use the micro-blogging platform Twitter to convey their needs and desires, it has become a particularly interesting medium for the task of identifying commercial activities. Potential buyers and sellers can be contacted directly thereby opening up novel perspectives and economic possibilities. By detecting commercial intent in tweets, this work is considered a first step to bring together buyers and sellers. In this work, we present an automatic method for detecting commercial intent in tweets where we achieve reasonable precision 57% and recall 77% scores. In addition, we provide insights into the nature and characteristics of tweets exhibiting commercial intent thereby contributing to our understanding of how people express commercial activities on Twitter.