[PDF][PDF] A review on student attrition in higher education using big data analytics and data mining techniques

SSA Tarmizi, S Mutalib, NHA Hamid… - International Journal of …, 2019 - academia.edu
Student attrition among undergraduate students is among the most concerned issues in
higher educational institutions in Malaysia and abroad. This problem arises when these …

A machine learning tool for collecting and analyzing subjective road safety data from Twitter

MM Abedi, E Sacchi - Expert Systems with Applications, 2024 - Elsevier
Several measures have been proposed in the road safety field to measure safety objectively.
However, studies focused on measuring subjective road safety (ie, the cognitive safety of …

Real-time twitter data mining approach to infer user perception toward active mobility

R Rahman, K Redwan Shabab… - Transportation …, 2021 - journals.sagepub.com
This study evaluates the level of service of shared transportation facilities through mining
geotagged data from social media and analyzing the perceptions of road users. An …

Analyzing Ukrainian Media Texts by Means of Support Vector Machines: Aspects of Language and Copyright

M Lupei, O Mitsa, V Sharkan, S Vargha… - … Conference on Computer …, 2023 - Springer
The paper focuses on the possibilities of studying Ukrainian online media publications using
the support vector machine. Through a database including about 95,000 texts of three …

[PDF][PDF] Bengali news headline categorization using optimized machine learning pipeline

P Dhar, MZ Abedin - IJ Informatics Enginering Electronic. Busi, 2021 - mecs-press.net
Bengali text based news portal is now very common and increasing day by day. With easy
access of internet technology, reading news through online is now a regular task. Different …

Toxic comment classification on social media using support vector machine and chi square feature selection

N Azzahra, D Murdiansyah… - … on Information and …, 2021 - socj.telkomuniversity.ac.id
The use of social media in society continues to increase over time and the ease of access
and familiarity of social media then make it easier for an irresponsible user to do unethical …

Machine learning for text classification in building management systems

JJ Mesa-Jiménez, L Stokes, QP Yang… - Journal of Civil …, 2022 - jau.vgtu.lt
In building management systems (BMS), a medium building may have between 200 and
1000 sensor points. Their labels need to be translated into a naming standard so they can …

Disaster tweet classifications using hybrid convolutional layers and gated recurrent unit

RAM Pratama, HF Pardede - International Journal of …, 2023 - journals.uob.edu.bh
A disaster monitoring system using Twitter data can provide information regarding disaster-
prone areas and emergency response information. There have been several studies aimed …

Classification of insincere questions using deep learning: quora dataset case study

I Aslam, MA Zia, I Mumtaz, Q Nawaz… - Proceedings of the …, 2021 - Springer
In the recent few year internet has gained the attention of researchers from all over the
world. Internet has become crucial part of people's lives rapidly. The major cause of this …

Classification of Idioms and Literals Using Support Vector Machine and Naïve Bayes Classifier

J Briskilal, CN Subalalitha - … and Applications: Select Proceedings of MAI …, 2021 - Springer
With the large amount of text data being populated on World Wide Web (WWW), Text
classification becomes one of the most inevitable preprocessing techniques in any text …