A Lexicon based Approach Towards Concept Extraction

The emergence of digital media has tremendously increased amount of unstructured data. Recently 80% of data, generated over web, is in unstructured format. This immense amount of data is a great source for the knowledge discovery and thus, may be utilized for extracting purposeful information. This...

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Bibliographic Details
Published in:3C tecnología 2019-05, Vol.8 (1), p.50-67
Main Authors: Shaikh, Anoud, Mahoto, Naeem Ahmed, Unar, Mukhtiar Ali
Format: Article
Language:English
Subjects:
Concept extraction
Online news
Unstructured data
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Summary:The emergence of digital media has tremendously increased amount of unstructured data. Recently 80% of data, generated over web, is in unstructured format. This immense amount of data is a great source for the knowledge discovery and thus, may be utilized for extracting purposeful information. This study adopted lexicon based approach for automatic concept extraction from online news stories and events. An application prototype has been developed to demonstrate the applicability and effectiveness of the adopted approach. The extracted knowledge about news stories, articles and blogs is essential in understanding in-depth information for news analysts. This knowledge plays vital role towards building societies, since media is considered as an opinion maker for its audience.
ISSN:2254-4143
2254-4143
DOI:10.17993/3ctecno.2019.specialissue2.50-67