A Survey on keyword and key phrase extraction with deep learning
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Date
2019
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers Inc.
Access Rights
info:eu-repo/semantics/closedAccess
Abstract
With the technological developments, a large amount of data has been produced. Tera bytes of data previously recorded by manpower were digitized with the use of personal computers. As a result, rapidly growing data stacks were formed, making it difficult to find information among these unanticipated data. The need to make sense of this data has made predefined statistical methods more important. It is possible to access the required information from a single document or from the document stacks by means of text mining methods. This problem, which was previously solved mostly by statistical methods or Natural Language Processing (NLP) techniques, has been started to be solved by machine learning algorithms and artificial neural networks. In recent years, deep learning, which is a specialized study area of artificial neural networks, gives better results than the current statistical and NLP methods in many problems and has provided the application of these methods in problems such as machine translation, keyword extraction and summarizing. In this study, deep learning methods used in the extraction of keywords and key phrases are examined.
Description
Ünlü Kılıç, Özlem ( Aksaray, Yazar )
Keywords
Keyword, Key Phrase, Review, Deep Learning, RNN
Journal or Series
3rd International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2019 - Proceedings
WoS Q Value
Scopus Q Value
N/A
Volume
-
Issue
-
