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Abstract
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Article Information:
A New Method for Extracting Key Terms from Micro-Blogs Messages Using Wikipedia
Ahmad Ali Al-Zubi
Corresponding Author: Ahmad Ali Al-Zubi
Submitted: January 29, 2013
Accepted: March 21, 2013
Published: November 20, 2013 |
Abstract:
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This study describes how to extract key terms of the micro-blogs messages, using information obtained by analysing the structure and content of online encyclopaedia Wikipedia. The algorithm used for this target is based on the calculation of "keyphraseness" for each term, i.e., assess the probability that it may be chosen as a key term in the text. During assessment, the developed algorithm has shown satisfactory results in terms of this task, significantly outpacing other existing algorithms. As a demonstration of the possible application of the developed algorithm it has been implemented in a system prototype of contextual advertisement. And some options have been also formulated using the information obtained by analysing Twitter messages, for various support services.
Key words: Blogs, messages, extracting algorithms, key term extraction, keyphraseness, micro blogging,
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Cite this Reference:
Ahmad Ali Al-Zubi, . A New Method for Extracting Key Terms from Micro-Blogs Messages Using Wikipedia. Research Journal of Applied Sciences, Engineering and Technology, (21): 4070-4076.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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