Toxic Comment Detection: Analyzing the Combination of Text and Emojis

Michael Aquino, Yasiris Ortiz, Arif Rashid,Anne M. Tumlin,N. Sertac Artan,Ziqian Dong,Huanying Gu

2021 IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems (MASS)（2021）

引用 1|浏览8

暂无评分

摘要

Detection of toxicity in online commentary is a growing branch of Natural Language Processing (NLP). Most research in the area rely only on text-based toxic comment detection. We propose a machine learning approach for detecting the toxicity of a comment by analyzing both the text and the emojis within the comment. Our approach utilizes word embeddings derived from GloVe and emoji2vec to train a b...

查看译文

关键词

Toxicology,Conferences,Machine learning,Natural language processing,Data models,Long short term memory

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要