首页|Study Findings on Machine Learning Published by Researchers at U.S. Air Force Ac ademy (Word embedding and classification methods and their effects on fake news detection)
Study Findings on Machine Learning Published by Researchers at U.S. Air Force Ac ademy (Word embedding and classification methods and their effects on fake news detection)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on artificial intell igence are discussed in a new report. According to news reporting originating fr om the U.S. Air Force Academy by NewsRx correspondents, research stated, “Natura l language processing contains multiple methods of translating written text or s poken words into numerical information called word embeddings.” Our news editors obtained a quote from the research from U.S. Air Force Academy: “Some of these embedding methods, such as Bag of Words, assume words are indepe ndent of one another. Other embedding methods, such as Bidirectional Encoder Rep resentations from Transformers and Word2Vec, capture the relationship between wo rds in various ways. In this paper, we are interested in comparing methods treat ing words as independent and methods capturing the relationship between words by looking at the effect these methods have on the classification of fake news.”
NETL
NSTL
