license: cc
task_categories:
- text-classification
language:
- en
tags:
- tweet-classification
- topic-detection
- topic-classification
- topics
- tweets
- tweet-length
Published tweet dataset used in "Tweet Length Matters: A Comparative Analysis on Topic Detection in Microblogs" includes tweet id and corresponding topic number.
Topic numbers encoded as follows:
Topic Topic Number BLM Movement 0 Covid-19 1 K-Pop 2 Bollywood 3 Gaming 4 U.S. Politics 5 Out-of-Topic 6
In total, there are 354,310 tweet instances.
More details can be found at https://github.com/avaapm/ECIR2021/
Citation
If you make use of these tools, please cite following paper.
@inproceedings{DBLP:conf/ecir/SahinucT21, author = {Furkan {\c{S}}ahinu{\c{c}} and Cagri Toraman}, title = {Tweet Length Matters: {A} Comparative Analysis on Topic Detection in Microblogs}, booktitle = {Advances in Information Retrieval - 43rd European Conference on {IR} Research, {ECIR} 2021, Virtual Event, March 28 - April 1, 2021, Proceedings, Part {II}}, series = {Lecture Notes in Computer Science}, volume = {12657}, pages = {471--478}, publisher = {Springer}, year = {2021}, url = {https://doi.org/10.1007/978-3-030-72240-1\_50}, doi = {10.1007/978-3-030-72240-1_50}, }