Proceedings of the 2015 International Conference on Recent Advances in Computer Systems

NEWSD: A Realtime News Classification Engine for Web Streaming Data

Authors
Urooj Mohiuddin, Hameeza Ahmed, Muhammad Ismail
Corresponding Author
Urooj Mohiuddin
Available Online November 2015.
DOI
https://doi.org/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.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
Part of series
Advances in Computer Science Research
Publication Date
November 2015
ISBN
978-94-6252-146-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/racs-15.2016.10How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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
PB  - Atlantis Press
SP  - 61
EP  - 66
SN  - 2352-538X
UR  - https://doi.org/10.2991/racs-15.2016.10
DO  - https://doi.org/10.2991/racs-15.2016.10
ID  - Mohiuddin2015/11
ER  -