Open AccessText Classification by using Natural Language Processing
Author(s) -
Peiyang Yu,
Victor Y. Cui,
Jiaxin Guan
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1802/4/042010
Subject(s) - preprocessor , computer science , natural language processing , artificial intelligence , the internet , word (group theory) , data pre processing , natural (archaeology) , natural language , information retrieval , data science , linguistics , world wide web , history , philosophy , archaeology
The spread of Fake news on the Internet misleads people to have false understandings and recognitions of certain events and make ill-advised decisions. This widespread can post a significant threat to modern society politically, economically, and ethnically. In this paper, multiple methods and approaches are mainly discussed for text-data preprocessing, implement different word-vector algorithms. Finally, two datasets are chosen to compare four of the most popular Natural Language Processing (NLP) models to help people distinguish the authenticity of the news.