To search, Click below search items. |
| All Published Papers Search Service |
|
|
|
Title |
Minimal Keyword Extractions for General and Bio Medical Documents: A Survey |
|
Author |
Vijaya Madhavi Lakshmi Challa, G. Ramadevi, Zareena NoorBasha, Dr M. RaviSankar, Z. SunithaBai, Aparna Dayyala, Nagamallikharjunarao. Billa |
| Citation |
Vol. 22 No. 6 pp. 523-530 |
|
Abstract |
The most crucial information is contained in keywords, which are index terms. The task of identifying a limited selection a list of words, phrases, or keywords that can be extracted from a document can be used to convey the meaning of the document is known as automatic keyword extraction. Text interpretation methods like TF-IDF, RAKE, YAKE, Key BERT can help you get the information you need from a single document or a stack of papers. In topical years, a specialized field of artificial neural networks research in deep learning, has outperformed contemporary statistical and NLP techniques in a variety of situations, allowing these methods to be applied to challenges including machine translation, keyword extraction, and summarization. Deep learning algorithms for keyword and key phrase extraction were investigated in this work |
|
Keywords |
Key phrases, Key words, Deep learning, RNN. |
|
URL |
