DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
Sign Up to like & getrecommendations! Published in 2021 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btab083
Abstract: MOTIVATION Deciphering the language of non-coding DNA is one of the fundamental problems in genome research. Gene regulatory code is highly complex due to the existence of polysemy and distant semantic relationship, which previous informatics… read more here.
Keywords: dnabert; pre; trained bidirectional; transformers model ... See more keywords
Transfer Learning for Sentiment Classification Using Bidirectional Encoder Representations from Transformers (BERT) Model
Sign Up to like & getrecommendations! Published in 2023 at "Sensors"
DOI: 10.3390/s23115232
Abstract: Sentiment is currently one of the most emerging areas of research due to the large amount of web content coming from social networking websites. Sentiment analysis is a crucial process for recommending systems for most… read more here.
Keywords: encoder representations; classification; bidirectional encoder; transfer learning ... See more keywords