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---
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},
} |