We introduce Relevancer that processes a tweet set and enables generating an automatic classifier from it. Relevancer satisfies information needs of experts during significant events. Enabling experts to combine automatic procedures with expertise is the main contribution of our approach and the added value of the tool. Even a small amount of feedback enables the tool to distinguish between relevant and irrelevant information effectively. Thus, Relevancer facilitates the quick understanding of and proper reaction to events presented on Twitter.
|Title of host publication||Natural Language Processing and Information Systems (NLDB 2017)|
|Editors||F. Frasincar, A. Ittoo, L. Nguyen, E. Metais|
|Publication status||Published - 2017|
- natural language processing
Hürriyetoglu, A., Oostdijk, N., Basar, E., & van den Bosch, A. (2017). Supporting experts to handle tweet collections about significant events. In F. Frasincar, A. Ittoo, L. Nguyen, & E. Metais (Eds.), Natural Language Processing and Information Systems (NLDB 2017) (pp. 138-141). Springer. https://doi.org/10.1007/978-3-319-59569-6_14