5 results for “extractive summarization”

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Review ArticleOpen accessIn the keywordsA Review on Automatic Text Summarization ApproachesYogan Jaya Kumar, Ong Sing Goh, Halizah Basiron et al.It has been more than 50 years since the initial investigation on automatic text summarization was started. Various techniques have been successfully used to extract the important contents from text document to represent document summary. In this study, we review some of the studies that have been conducted in this still-developing research area. It covers the basics of text summarization, … …Journal of Computer Science, Vol. 12, Issue 4 · 30 Apr 2016 · 10,361 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsAutomatic Multi Document Summarization ApproachesYogan Jaya Kumar, Naomie SalimProblem statement: Text summarization can be of different nature ranging from indicative summary that identifies the topics of the document to informative summary which is meant to represent the concise description of the original document, providing an idea of what the whole content of document is all about. Approach: Single document summary seems to capture both the information well but … …Journal of Computer Science, Vol. 8, Issue 1 · 1 Nov 2011 · 8,712 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA Deep Learning Approach for Telugu Domain Identification with Multichannel LSTM-CNNBuddha Hari Kumar, Chitra Perumal, Inakoti Ramesh Raja et al.The vast growth of textual data has ushered into the limelight, a plethora of applications in information retrieval and natural language processing (NLP). Proper extraction of information from text is heavily dependent on recognizing the thematic content, which becomes crucial in the tasks of document summarization, information extraction, question answering, machine translation, and sentiment analysis. The great complexity of this … …Journal of Computer Science, Vol. 21, Issue 9 · 26 Nov 2025 · 2,395 accessesView PDF Cite

Research ArticleOpen accessIn the abstractText Summarization Using Morphological Filtering of Intuitionistic Fuzzy HypergraphDhanya Prabhasadanam Mohanan, Sreekumar Ananda Rao, Jathavedan Madambi, Ramkumar Padinjarepizharath BalakrishnaText Summarization has been an area of interest for many years. It refers to creating a concise text of a document without any lose of information. Researchers in the area of natural language processing have developed many abstractive and extractive methods for creating summary. Abstractive summaries modifies the sentences and creates a modified concise form, while extractive summaries pick relevant … …Journal of Computer Science, Vol. 14, Issue 6 · 25 Jun 2018 · 7,871 accessesView PDF Cite

Research ArticleOpen accessIn the abstractAN APPROACH FOR TEXT SUMMARIZATION USING DEEP LEARNING ALGORITHMG. PadmaPriya, K. DuraiswamyNow days many research is going on for text summarization. Because of increasing information in the internet, these kind of research are gaining more and more attention among the researchers. Extractive text summarization generates a brief summary by extracting proper set of sentences from a document or multiple documents by deep learning. The whole concept is to reduce or minimize … …Journal of Computer Science, Vol. 10, Issue 1 · 7 Nov 2013 · 7,803 accessesView PDF Cite