Automatic text summarization–A systematic literature review
1 Department of Computer Science, Seshadripuram College, Bengaluru, Karnataka, India.
2 Department of Computer Application, SSIT, Tumkur, Karnataka, India.
3 Department of Computer Application, Bangalore University, Bengaluru, Karnataka, India.
Review
World Journal of Advanced Engineering Technology and Sciences, 2023, 08(02), 126–129.
Article DOI: 10.30574/wjaets.2023.8.2.0080
Publication history:
Received on 04 February 2023; revised on 13 March 2023; accepted on 15 March 2023
Abstract:
Automatic summarization is the act of computationally condensing a set of data to produce a subset (a summary) that captures the key ideas or information within the original text. To do this, artificial intelligence algorithms that are tailored for diverse sorts of data are frequently created and used. Ten research articles considering databases like IEEE, Scopus, and Springer Nature have been considered. The paradigm shift that AI has created in the field of Automatic Text Summarization is discussed in detail.
Keywords:
Automatic summarization; Keyword Extraction; Abstraction; Natural Language Processing; Dataset
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