# Label Sleuth: From Unlabeled Text to a Classifier in a Few Hours

Authors: Eyal Shnarch, Alon Halfon, Ariel Gera, Marina Danilevsky, Yannis Katsis, Leshem Choshen, Mart\'\in Santill\'an Cooper, Dina Epelboim, Zheng Zhang, Dakuo Wang
Venue: Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, {EMNLP} 2022 - System Demonstrations, Abu Dhabi, UAE, December 7-11, 2022 (2022)

## Abstract
Text classification can be useful in many real-world scenarios, saving a lot of time for end users. However, building a custom classifier typically requires coding skills and ML knowledge, which poses a significant barrier for many potential users. To lift this barrier, we introduce Label Sleuth, a free open source system for labeling and creating text classifiers. This system is unique for (a) being a no-code system, making NLP accessible to non-experts, (b) guiding users through the entire labeling process until they obtain a custom classifier, making the process efficient -- from cold start to classifier in a few hours, and (c) being open for configuration and extension by developers. By open sourcing Label Sleuth we hope to build a community of users and developers that will broaden the utilization of NLP models.

## Links
- arXiv: https://arxiv.org/abs/2208.01483
- PDF: https://arxiv.org/pdf/2208.01483
- HTML: https://ar5iv.labs.arxiv.org/html/2208.01483
- Hugging Face: https://huggingface.co/papers/2208.01483
- alphaXiv: https://www.alphaxiv.org/abs/2208.01483
- DOI: https://doi.org/10.18653/V1/2022.EMNLP-DEMOS.16
- Semantic Scholar: https://www.semanticscholar.org/paper/251253248
- Publisher: https://doi.org/10.18653/v1/2022.emnlp-demos.16

## How to cite
@inproceedings{DBLP:conf/emnlp/ShnarchHGDKCCEZW22,
author       = {Eyal Shnarch and
                  Alon Halfon and
                  Ariel Gera and
                  Marina Danilevsky and
                  Yannis Katsis and
                  Leshem Choshen and
                  Mart{\'{\i}}n Santill{\'{a}}n Cooper and
                  Dina Epelboim and
                  Zheng Zhang and
                  Dakuo Wang},
  editor       = {Wanxiang Che and
                  Ekaterina Shutova},
  title        = {Label Sleuth: From Unlabeled Text to a Classifier in a Few Hours},
  booktitle    = {Proceedings of the The 2022 Conference on Empirical Methods in Natural
                  Language Processing, {EMNLP} 2022 - System Demonstrations, Abu Dhabi,
                  UAE, December 7-11, 2022},
  pages        = {159--168},
  publisher    = {Association for Computational Linguistics},
  year         = {2022},
  url          = {https://doi.org/10.18653/v1/2022.emnlp-demos.16},
  doi          = {10.18653/V1/2022.EMNLP-DEMOS.16},
  timestamp    = {Mon, 22 Jul 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/emnlp/ShnarchHGDKCCEZW22.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}