NEWSD: A Realtime News Classification Engine for Web Streaming Data
Urooj Mohiuddin, Hameeza Ahmed, Muhammad Ismail
Available Online November 2015.
- https://doi.org/10.2991/racs-15.2016.10How to use a DOI?
- news explorer; classification; streaming web; text mining; real time tool
- 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.
- 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 BT - International Conference on Recent Advances in Computer Systems PB - Atlantis Press 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 -