User-generated textual contents on the Internet are often noisy, erroneous, and not in correct forms in 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. A short demo video is available at: https://youtu.be/8WT3G8xjIoI
@article{arxiv.2301.06494,
title = {CRYPTEXT: Database and Interactive Toolkit of Human-Written Text Perturbations in the Wild},
author = {Thai Le and Ye Yiran and Yifan Hu and Dongwon Lee},
journal= {arXiv preprint arXiv:2301.06494},
year = {2023}
}
Comments
Accepted to IEEE International Conference on Data Engineering 2023