NEWSD: A Realtime News Classification Engine for Web Streaming Data

DOI

10.2991/racs-15.2016.10How to use a DOI?

Keywords

news explorer; classification; streaming web; text mining; real time tool

Abstract

News Explorer for Web Streaming Data (NEWSD) is a GUI based text mining tool developed for the classification of streaming web data. It provides a platform to perform text mining on news updates extracted from various selected online newspapers. Initially, the text based news data is fetched from social networking pages of the selected newspapers. The real time data gathering is immediately followed by the preprocessing, feature extraction and classification. Classifiers namely NaïveBayes and J48 are employed to categorize the news updates according to their nature and semantics. The tool will lead towards a more aware society by constantly providing the relevant updates about the events.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Urooj Mohiuddin
AU  - Hameeza Ahmed
AU  - Muhammad Ismail
PY  - 2015/11
DA  - 2015/11
TI  - NEWSD: A Realtime News Classification Engine for Web Streaming Data
BT  - Proceedings of the 2015 International Conference on Recent Advances in Computer Systems
PB  - Atlantis Press
SP  - 61
EP  - 66
SN  - 2352-538X
UR  - https://doi.org/10.2991/racs-15.2016.10
DO  - 10.2991/racs-15.2016.10
ID  - Mohiuddin2015/11
ER  -