scholarly journals Short Text Mining for Classifying Educational Objectives and Outcomes

2022 ◽  
Vol 41 (1) ◽  
pp. 35-50
Author(s):  
Yousef Asiri
Keyword(s):  
Text Mining ◽  
Educational Objectives ◽  
Short Text

Fuzzy topic modeling approach for text mining over short text

2019 ◽  
Vol 56 (6) ◽  
pp. 102060 ◽  
Author(s):  
Junaid Rashid ◽  
Syed Muhammad Adnan Shah ◽  
Aun Irtaza
Keyword(s):  
Text Mining ◽  
Topic Modeling ◽  
Short Text ◽  
Modeling Approach

scholarly journals Text Mining in Educational Objectives for Arabic Twitter Educator Accounts

2020 ◽  
Vol 11 (1) ◽  
pp. 3375-3385
Author(s):  
Mohammed A. Alasmrai ◽  
Adel R. Alharbi
Keyword(s):  
Text Mining ◽  
Educational Objectives

Data Text Mining Based on Swarm Intelligence Techniques

2020 ◽  
pp. 88-124
Author(s):  
Mohamed Atef Mosa
Keyword(s):  
Text Mining ◽  
Swarm Intelligence ◽  
Web Mining ◽  
Heuristic Algorithms ◽  
Optimization Techniques ◽  
Short Text ◽  
First Time ◽  
Automatic Text ◽  
Great Growth ◽  
The Web

Due to the great growth of data on the web, mining to extract the most informative data as a conceptual brief would be beneficial for certain users. Therefore, there is great enthusiasm concerning the developing automatic text summary approaches. In this chapter, the authors highlight using the swarm intelligence (SI) optimization techniques for the first time in solving the problem of text summary. In addition, a convincing justification of why nature-heuristic algorithms, especially ant colony optimization (ACO), are the best algorithms for solving complicated optimization tasks is introduced. Moreover, it has been perceived that the problem of text summary had not been formalized as a multi-objective optimization (MOO) task before, despite there are many contradictory objectives in needing to be achieved. The SI has not been employed before to support the real-time tasks. Therefore, a novel framework of short text summary has been proposed to fulfill this issue. Ultimately, this chapter will enthuse researchers for further consideration for SI algorithms in solving summary tasks.

scholarly journals Short Text Mining: State of the Art and Research Opportunities

2019 ◽  
Vol 15 (10) ◽  
pp. 1450-1460
Author(s):  
Mohamed Grida ◽  
Hasnaa Soliman ◽  
Mohamed Hassan
Keyword(s):  
Text Mining ◽  
State Of The Art ◽  
Short Text ◽  
Research Opportunities
Sign in / Sign up

Export Citation Format

Share Document