About WikiProfessional
Wikiprofessional's Concept Web Initiative is a global collaboration to innovate how knowledge is represented and expanded on the Internet.
The Internet embodies an enormous information space that continues to expand exponentially in page count but not proportionally in new knowledge. Redundancy of the same facts and opinions within a myriad of web-pages has artificially inflated the size of the Internet. To get a million search results on a query without the ability to separate redundancy of the same information from the incremental knowledge expansions on that query concept is highly inefficient. Within the Concept Web, information is converted to streamlined knowledge where redundancy and newness of idea expansion are properly represented.
In the Concept Web, knowledge representation and expansion is accomplished with the aid of two revolutionary technologies: Knowlet and a new professional Wiki.
MALLET is a Java-based package for statistical natural language processing, document classification, clustering, topic modeling, information extraction, and other machine learning applications to text.
In natural language understanding, there is a hierarchy of lenses through which we can extract meaning - from words to sentences to paragraphs to documents. At the document level, one of the most useful ways to understand text is by analyzing its topics.
Get hands-on help from your dedicated Research Coach. Our 1:1 Mentoring Services offer personalised guidance to excel in every stage of your research journey.
M. Hossen, M. Faiad, M. Chowdhury, and M. Islam. International Journal of Computer Science & Information Technology (IJCSIT), 10 (1):
95 - 105(February 2018)
A. Hendrickson, J. Wang, and M. Atzmueller. Proc. 24th International Symposium on Methodologies for Intelligent Systems (ISMIS), Heidelberg, Germany, Springer Verlag, ((accepted) 2018)
Y. Chen, H. Dong, and W. Wang. Proceedings of the 2018 International Conference on Data Science and Information Technology, page 138--143. New York, NY, USA, ACM, (2018)