Illinois Data Bank - Dataset

Trained models for multi-task multi-dataset learning for text classification in tweets
Cite this dataset:
Mishra, Shubhanshu (2019): Trained models for multi-task multi-dataset learning for text classification in tweets. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-1917934_V1
Dataset Description

Trained models for multi-task multi-dataset learning for text classification in tweets.
Classification tasks include sentiment prediction, abusive content, sarcasm, and veridictality.

Models were trained using: https://github.com/socialmediaie/SocialMediaIE/blob/master/SocialMediaIE/scripts/multitask_multidataset_classification.py
See https://github.com/socialmediaie/SocialMediaIE and https://socialmediaie.github.io for details.

If you are using this data, please also cite the related article:
Shubhanshu Mishra. 2019. Multi-dataset-multi-task Neural Sequence Tagging for Information Extraction from Tweets. In Proceedings of the 30th ACM Conference on Hypertext and Social Media (HT '19). ACM, New York, NY, USA, 283-284. DOI: https://doi.org/10.1145/3342220.3344929
Subject Social Sciences
Keywords twitter; deep learning; machine learning; trained models; multi-task learning; multi-dataset learning; sentiment; sarcasm; abusive content;
License CC BY
Corresponding Creator Shubhanshu Mishra
Downloaded 2263 times
Version DOI Comment Publication Date
1 10.13012/B2IDB-1917934_V1 2019-09-17

Open in Globus what's this?
3.59 GB File
2.61 GB File
3.59 GB File
3.27 GB File
2.29 GB File
3.59 GB File
2.98 GB File
2.32 GB File
2.65 GB File
2.29 GB File
1.63 GB File
2.28 GB File
1.3 GB File
1.96 GB File
2.28 GB File
1.96 GB File
2.94 GB File
2.94 GB File
2.29 GB File
2.61 GB File
2.28 GB File
1.96 GB File
2.28 GB File
2.28 GB File
2.61 GB File
3.59 GB File
3.59 GB File
3.59 GB File
2.94 GB File
1.96 GB File
2.28 GB File
1.63 GB File
1.3 GB File
2.61 GB File
1.3 GB File
1.3 GB File
3.59 GB File
2.61 GB File
2.94 GB File

Contact the Research Data Service for help interpreting this log.

RelatedMaterial update: {"note"=>[nil, ""], "feature"=>[nil, false]} 2024-01-26T20:15:51Z
RelatedMaterial update: {"note"=>[nil, ""], "feature"=>[nil, false]} 2024-01-26T20:15:51Z
RelatedMaterial update: {"citation"=>["\tShubhanshu Mishra. 2019. Multi-dataset-multi-task Neural Sequence Tagging for Information Extraction from Tweets. In Proceedings of the 30th ACM Conference on Hypertext and Social Media (HT '19). ACM, New York, NY, USA, 283-284. DOI: https://doi.org/10.1145/3342220.3344929", "Shubhanshu Mishra. 2019. Multi-dataset-multi-task Neural Sequence Tagging for Information Extraction from Tweets. In Proceedings of the 30th ACM Conference on Hypertext and Social Media (HT '19). ACM, New York, NY, USA, 283-284. DOI: https://doi.org/10.1145/3342220.3344929"], "note"=>[nil, ""], "feature"=>[nil, false]} 2024-01-26T20:15:51Z
RelatedMaterial update: {"note"=>[nil, ""], "feature"=>[nil, false]} 2024-01-26T20:15:51Z
RelatedMaterial create: {"material_type"=>"Presentation", "availability"=>nil, "link"=>"https://socialmediaie.github.io/tutorials/IC2S2_2020/Presentation.pdf", "uri"=>"https://socialmediaie.github.io/tutorials/IC2S2_2020/Presentation.pdf", "uri_type"=>"URL", "citation"=>"Mishra, S., Rezapour, R. & Diesner, J. (2020). Social Media Information Extraction Tutorials", "dataset_id"=>949, "selected_type"=>"Presentation", "datacite_list"=>"IsSupplementTo"} 2020-08-04T21:26:03Z
RelatedMaterial create: {"material_type"=>"Presentation", "availability"=>nil, "link"=>"https://socialmediaie.github.io/tutorials/HT2019/Tutorial-Slides-HT-Hof-Germany-17_09_2019.pdf", "uri"=>"https://socialmediaie.github.io/tutorials/HT2019/Tutorial-Slides-HT-Hof-Germany-17_09_2019.pdf", "uri_type"=>"URL", "citation"=>"Mishra, S., Diesner J., Hands on advanced machine learning for information extraction from tweets tasks, data, and open source tools. Sep, 2019", "dataset_id"=>949, "selected_type"=>"Presentation", "datacite_list"=>"IsSupplementTo"} 2019-11-04T16:25:14Z
RelatedMaterial create: {"material_type"=>"Article", "availability"=>nil, "link"=>"https://doi.org/10.1145/3342220.3344929", "uri"=>"10.1145/3342220.3344929", "uri_type"=>"DOI", "citation"=>"\tShubhanshu Mishra. 2019. Multi-dataset-multi-task Neural Sequence Tagging for Information Extraction from Tweets. In Proceedings of the 30th ACM Conference on Hypertext and Social Media (HT '19). ACM, New York, NY, USA, 283-284. DOI: https://doi.org/10.1145/3342220.3344929", "dataset_id"=>949, "selected_type"=>"Article", "datacite_list"=>"IsSupplementTo"} 2019-09-17T15:46:24Z
RelatedMaterial update: {"uri"=>[nil, "https://github.com/socialmediaie/SocialMediaIE"], "uri_type"=>[nil, "URL"], "datacite_list"=>[nil, "IsSupplementedBy"]} 2019-09-17T15:46:24Z