Ahsan N. Khan

Work place: Teradata Corporation, Lahore Office, Pakistan

E-mail: ahsan.nabi@gmail.com


Research Interests:


Ahsan N. Khan is a Data Scientist working with Teradata. This research work is the output of his Masters of Science Thesis in University of Engineering and Technology, Lahore. Mr. Khan is an active writer and blogger, with several research publications listed in Amazon, Google Scholar, Microsoft Academic Research and WSEAS. He has also graduated Magna cum Laude in the same field as Bachelors of Science from National University of Computer and Emerging Sciences. Hence his studies and experience in the data science is spanned over a decade of quality work contributions, including his books on theses, Text Psyche Mining: Normative Vision and Normative Tag Cloud: Creating Normative Word Sense Spectrum, published with Amazon.com.

Author Articles
Automatic Ethical Filtering using Semantic Vectors Creating Normative Tag Cloud from Big Data

By Ahsan N. Khan

DOI: https://doi.org/10.5815/ijisa.2015.04.03, Pub. Date: 8 Mar. 2015

Ethical filtering has been a painful and controversial issue seen by different angles worldwide. Stalwarts for freedom find newer methods to circumvent banned URLs while generative power of the Internet outpaces velocity of censorship. Hence, keeping online content safe from anti-religious and sexually provocative content is a growing issue in conservative countries in Asia and The Middle East. Solutions for online ethical filters are linearly upper bound given computation and big data growth scales. In this scenario, Semantic Vectors are applied as automatic ethical filters to calculate accuracy and efficiency metrics. The results show a normative tag cloud generated with superior performance to industry solutions.

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