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Hyunuk Kim's Projects

blockchain-starter-kit icon blockchain-starter-kit

Created for toolchain: https://console.ng.bluemix.net/devops/toolchains/cfd2960f-c775-4b0e-b1dc-33af02d77116?env_id=ibm%3Ayp%3Aus-south

covid19_antibiotics_monitoring icon covid19_antibiotics_monitoring

Health misinformation can spread rapidly during a crisis, as in the case of the COVID-19 pandemic. We provide a tool that collects Twitter posts that likely contain misinfo for use by fact checkers.

detoxify icon detoxify

Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using ⚡ Pytorch Lightning and 🤗 Transformers.

extract_misinformation_candidate_tweets icon extract_misinformation_candidate_tweets

This repository provides several Python scripts to extract tweets possibly containing health misinformation. These tweets have replies semantically similar with official advice from health authorities such as the WHO and the CDC, inspired by the observations that some tweets were corrected by volunteer fact checkers with accurate information.

flask-sijax icon flask-sijax

An extension for the Flask microframework that adds Sijax support.

kobert icon kobert

Korean BERT pre-trained cased (KoBERT)

transformers icon transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

vadersentiment icon vadersentiment

VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.

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