About

This site provides supplemental materials for Twinder, a prototype search engine for Twitter based on Twitter Analytical Platform (TAP). The work of TAP has been published as a full paper, titled "Facilitating Twitter Data Analytics: Platform, Language and Functionality", at IEEE International Conference on Big Data 2014. This research work is mainly conducted at Web Information Systems group at TU Delft.

Demonstration

Currently we are providing a live demonstration of Twinder at http://twinder.org.

Evaluations

Thanks very much for the comments that reviews have given for our IEEE Big Data 2014 paper. Due to the length limitation of the paper, we could not accomodate all the evaluation details in the paper. However, we provide all the detailed information here.

Publications

1. Ke Tao, Claudia Hauff, Geert-Jan Houben, Fabian Abel, and Guido Wachsmuth. Facilitating Twitter Data Analytics: Platform, Language, and Functionality. Accepted for the IEEE International Conference on Big Data, 2014.
2. Ke Tao, Fabian Abel, Claudia Hauff, Geert-Jan Houben, Ujwal Gadiraju. Twinder: Enhancing Twitter Search. In N. Ferro (eds.) PROMISE Winter School 2013: Bridging between Information Retrieval and Databases, LNCS 8173, Heidelberg, Germany, 2013
3. Ke Tao, Fabian Abel, Claudia Hauff, Geert-Jan Houben. Twinder: A Search Engine for Twitter Streams. In Proceedings of the 12th International Conference on Web Engineering (ICWE), Berlin, Germany, July 2012 [bib] [slides] [website]

Acknowledgements

We would like to express our special thanks to SURFsara, from which we get the access to the cloud computing infrastructure to run our demonstration!

Contact

Any questions? Your feedback or suggests are welcome! Please send as an email!