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