CrypText: Database and Interactive Toolkit of Human-Written Text Perturbations in the Wild

Thai Le; Yiran Ye; Yifan Hu; Dongwon Lee

doi:10.1109/ICDE55515.2023.00287

CrypText: Database and Interactive Toolkit of Human-Written Text Perturbations in the Wild

Thai Le
, Yiran Ye
, Yifan Hu
, Dongwon Lee

College of Information Sciences and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Scopus citations

Abstract

User-generated textual contents on the Internet are often noisy, erroneous, and not in correct grammar. In fact, some online users choose to express their opinions online through carefully perturbed texts, especially in controversial topics (e.g., politics, vaccine mandate) or abusive contexts (e.g., cyberbullying, hate-speech). However, to the best of our knowledge, there is no framework that explores these online "human-written"perturbations (as opposed to algorithm-generated perturbations). Therefore, we introduce an interactive system called CrypText. CrypText is a data-intensive application that provides the users with a database and several tools to extract and interact with human-written perturbations. Specifically, CrypText helps look up, perturb, and normalize (i.e., de-perturb) texts. CrypText also provides an interactive interface to monitor and analyze text perturbations online. The demo is available at: https://lethaiq.github.io/anthro.

Original language	English (US)
Title of host publication	Proceedings - 2023 IEEE 39th International Conference on Data Engineering, ICDE 2023
Publisher	IEEE Computer Society
Pages	3639-3642
Number of pages	4
ISBN (Electronic)	9798350322279
DOIs	https://doi.org/10.1109/ICDE55515.2023.00287
State	Published - 2023
Event	39th IEEE International Conference on Data Engineering, ICDE 2023 - Anaheim, United States Duration: Apr 3 2023 → Apr 7 2023

Publication series

Name	Proceedings - International Conference on Data Engineering
Volume	2023-April
ISSN (Print)	1084-4627

Conference

Conference	39th IEEE International Conference on Data Engineering, ICDE 2023
Country/Territory	United States
City	Anaheim
Period	4/3/23 → 4/7/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

Software
Signal Processing
Information Systems

Access to Document

10.1109/ICDE55515.2023.00287

Cite this

Le, T., Ye, Y., Hu, Y., & Lee, D. (2023). CrypText: Database and Interactive Toolkit of Human-Written Text Perturbations in the Wild. In Proceedings - 2023 IEEE 39th International Conference on Data Engineering, ICDE 2023 (pp. 3639-3642). (Proceedings - International Conference on Data Engineering; Vol. 2023-April). IEEE Computer Society. https://doi.org/10.1109/ICDE55515.2023.00287

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title = "CrypText: Database and Interactive Toolkit of Human-Written Text Perturbations in the Wild",

abstract = "User-generated textual contents on the Internet are often noisy, erroneous, and not in correct grammar. In fact, some online users choose to express their opinions online through carefully perturbed texts, especially in controversial topics (e.g., politics, vaccine mandate) or abusive contexts (e.g., cyberbullying, hate-speech). However, to the best of our knowledge, there is no framework that explores these online {"}human-written{"}perturbations (as opposed to algorithm-generated perturbations). Therefore, we introduce an interactive system called CrypText. CrypText is a data-intensive application that provides the users with a database and several tools to extract and interact with human-written perturbations. Specifically, CrypText helps look up, perturb, and normalize (i.e., de-perturb) texts. CrypText also provides an interactive interface to monitor and analyze text perturbations online. The demo is available at: https://lethaiq.github.io/anthro.",

author = "Thai Le and Yiran Ye and Yifan Hu and Dongwon Lee",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 39th IEEE International Conference on Data Engineering, ICDE 2023 ; Conference date: 03-04-2023 Through 07-04-2023",

year = "2023",

doi = "10.1109/ICDE55515.2023.00287",

language = "English (US)",

series = "Proceedings - International Conference on Data Engineering",

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Le, T, Ye, Y, Hu, Y & Lee, D 2023, CrypText: Database and Interactive Toolkit of Human-Written Text Perturbations in the Wild. in Proceedings - 2023 IEEE 39th International Conference on Data Engineering, ICDE 2023. Proceedings - International Conference on Data Engineering, vol. 2023-April, IEEE Computer Society, pp. 3639-3642, 39th IEEE International Conference on Data Engineering, ICDE 2023, Anaheim, United States, 4/3/23. https://doi.org/10.1109/ICDE55515.2023.00287

CrypText: Database and Interactive Toolkit of Human-Written Text Perturbations in the Wild. / Le, Thai; Ye, Yiran; Hu, Yifan et al.
Proceedings - 2023 IEEE 39th International Conference on Data Engineering, ICDE 2023. IEEE Computer Society, 2023. p. 3639-3642 (Proceedings - International Conference on Data Engineering; Vol. 2023-April).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - CrypText

T2 - 39th IEEE International Conference on Data Engineering, ICDE 2023

AU - Le, Thai

AU - Ye, Yiran

AU - Hu, Yifan

AU - Lee, Dongwon

PY - 2023

Y1 - 2023

N2 - User-generated textual contents on the Internet are often noisy, erroneous, and not in correct grammar. In fact, some online users choose to express their opinions online through carefully perturbed texts, especially in controversial topics (e.g., politics, vaccine mandate) or abusive contexts (e.g., cyberbullying, hate-speech). However, to the best of our knowledge, there is no framework that explores these online "human-written"perturbations (as opposed to algorithm-generated perturbations). Therefore, we introduce an interactive system called CrypText. CrypText is a data-intensive application that provides the users with a database and several tools to extract and interact with human-written perturbations. Specifically, CrypText helps look up, perturb, and normalize (i.e., de-perturb) texts. CrypText also provides an interactive interface to monitor and analyze text perturbations online. The demo is available at: https://lethaiq.github.io/anthro.

AB - User-generated textual contents on the Internet are often noisy, erroneous, and not in correct grammar. In fact, some online users choose to express their opinions online through carefully perturbed texts, especially in controversial topics (e.g., politics, vaccine mandate) or abusive contexts (e.g., cyberbullying, hate-speech). However, to the best of our knowledge, there is no framework that explores these online "human-written"perturbations (as opposed to algorithm-generated perturbations). Therefore, we introduce an interactive system called CrypText. CrypText is a data-intensive application that provides the users with a database and several tools to extract and interact with human-written perturbations. Specifically, CrypText helps look up, perturb, and normalize (i.e., de-perturb) texts. CrypText also provides an interactive interface to monitor and analyze text perturbations online. The demo is available at: https://lethaiq.github.io/anthro.

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M3 - Conference contribution

AN - SCOPUS:85167672643

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CrypText: Database and Interactive Toolkit of Human-Written Text Perturbations in the Wild

Abstract

Publication series

Conference

UN SDGs

All Science Journal Classification (ASJC) codes

Access to Document

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