Extraction and Sequencing of Keywords from Twitter

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 701)

Abstract

Social media has been the game changer of this generation much like telephony was for the previous. The amount of information available on this platform is huge. This information if extracted and analyzed, can be an immensely helpful source of news and latest developments around the world. As a source and sink of information, it is much faster than traditional news channels and media platforms. This paper uses Twitter data to extract keywords and then sequence them to give useful information. Keywords are extracted from graph constructed from users’ posts by heaviest k-subgraph problem. We then proposed a method to sequence extracted keywords in a particular order to get some meaningful information by using Edmonds’ algorithm.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Computer Science and Engineering, University Institute of Engineering and TechnologyPanjab UniversityChandigarhIndia

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