Topics in Tweets: A User Study of Topic Coherence Metrics for Twitter Data.

@inproceedings{fang-2016-topics, author = {Anjie Fang and Craig Macdonald and Iadh Ounis and Philip Habel}, editor = {Nicola Ferro and Fabio Crestani and Marie-Francine Moens and Josiane Mothe and Fabrizio Silvestri and Giorgio Maria Di Nunzio and Claudia Hauff and Gianmaria Silvello}, title = {{Topics in Tweets: A User Study of Topic Coherence Metrics for Twitter Data}}, booktitle = {{Advances in Information Retrieval - 38th European Conference on IR Research, ECIR 2016, Padua, Italy, March 20-23, 2016. Proceedings}}, series = {Lecture Notes in Computer Science}, volume = {9626}, pages = {492--504}, publisher = {Springer}, year = {2016}, url = {https://doi.org/10.1007/978-3-319-30671-1_36}, doi = {https://doi.org/10.1007/978-3-319-30671-1_36} }