Extractive Summarization of Telugu Documents using TextRank Algorithm
K Usha Manjari
20202020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)19 citationsDOI
Abstract
Reading large and lengthy documents is a tedious and time-consuming task. A summary of the same document gives us an overall idea of what the document is all about. Automated summaries can be generated using various algorithms. The summary can be generated for single or multiple document inputs. Here the proposed system carries out extractive summarization of multiple Telugu text documents. The algorithm applied here is text rank algorithm.
Topics & Concepts
Automatic summarizationTeluguComputer scienceTask (project management)Rank (graph theory)Information retrievalMulti-document summarizationReading (process)Document retrievalArtificial intelligenceAlgorithmNatural language processingQuestion answeringMathematicsManagementCombinatoricsPolitical scienceEconomicsLawAdvanced Text Analysis TechniquesTopic ModelingNatural Language Processing Techniques