A New Method for Extracting Key Terms from Micro-Blogs Messages Using Wikipedia

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A New Method for Extracting Key Terms from Micro-Blogs Messages Using Wikipedia
Authors
Ahmad Ali Al-Zubi
Saudi Arabia
Publication date
2013
DOI
10.19026/rjaset.6.3512
Links
Original

A New Method for Extracting Key Terms from Micro-Blogs Messages Using Wikipedia - scientific work related to Wikipedia quality published in 2013, written by Ahmad Ali Al-Zubi and Saudi Arabia.

Overview

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.

Embed

Wikipedia Quality

Al-Zubi, Ahmad Ali; Arabia, Saudi. (2013). "[[A New Method for Extracting Key Terms from Micro-Blogs Messages Using Wikipedia]]".DOI: 10.19026/rjaset.6.3512.

English Wikipedia

{{cite journal |last1=Al-Zubi |first1=Ahmad Ali |last2=Arabia |first2=Saudi |title=A New Method for Extracting Key Terms from Micro-Blogs Messages Using Wikipedia |date=2013 |doi=10.19026/rjaset.6.3512 |url=https://wikipediaquality.com/wiki/A_New_Method_for_Extracting_Key_Terms_from_Micro-Blogs_Messages_Using_Wikipedia}}

HTML

Al-Zubi, Ahmad Ali; Arabia, Saudi. (2013). &quot;<a href="https://wikipediaquality.com/wiki/A_New_Method_for_Extracting_Key_Terms_from_Micro-Blogs_Messages_Using_Wikipedia">A New Method for Extracting Key Terms from Micro-Blogs Messages Using Wikipedia</a>&quot;.DOI: 10.19026/rjaset.6.3512.