dc.contributor.author | YILDIRIM, Seda | |
dc.date.accessioned | 2023-02-28T18:35:06Z | |
dc.date.available | 2023-02-28T18:35:06Z | |
dc.date.issued | 2022-12-10 | |
dc.identifier.citation | Yıldırım S. (2022). Natural Language Processing Applications in Engineering. In S. Kocer & O. Dundar (Eds .), Current Studies in Basic Sciences Engineering and Technology (pp. 12–30). ISRES Publishing. | en_US |
dc.identifier.isbn | 978-605-81654-2-7 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12498/5893 | |
dc.description | . | en_US |
dc.description.abstract | Natural language processing (NLP) is a subfield of linguistics, computer science, and
artificial intelligence. NLP related to the interactions between computers and human
language, how to program computers to process and analyze big amounts of natural
language data.NLP brings together theories, methods and technologies developed in many different
fields for example artificial intelligence, formal language theory, theoretical linguistics,
and computer-aided linguistics. The purpose of NLP is to examine problems in
automatically generating and understanding natural languages.
NLP helps ensure human-computer interaction by processing human-generated sounds
and texts. | en_US |
dc.language.iso | en | en_US |
dc.publisher | International Society for Research in Education and Science (ISRES) | en_US |
dc.subject | Natural Language Processing | en_US |
dc.subject | Word Embedding | en_US |
dc.subject | Word Vectorization | en_US |
dc.subject | Tokenization | en_US |
dc.subject | Text Classification | en_US |
dc.subject | Sentiment Analysis | en_US |
dc.subject | Named Entity Recognition | en_US |
dc.title | Natural Language Processing Application in Engineering | en_US |
dc.type | Kitap Bölümü | en_US |