A weighted support vector machine method for control chart pattern recognition

P Xanthopoulos, T Razzaghi - Computers & Industrial Engineering, 2014 - Elsevier
Manual inspection and evaluation of quality control data is a tedious task that requires the
undistracted attention of specialized personnel. On the other hand, automated monitoring of …

Comparison of various machine learning models for accurate detection of fake news

K Poddar, KS Umadevi - 2019 Innovations in Power and …, 2019 - ieeexplore.ieee.org
Fake news consists of news that is not well researched or deliberate steps have been taken
to spread misinformation or hoaxes via different forms of news distribution networks. This …

[PDF][PDF] Iucl at semeval-2016 task 6: An ensemble model for stance detection in twitter

C Liu, W Li, B Demarest, Y Chen… - Proceedings of the …, 2016 - aclanthology.org
We present the IUCL system, based on supervised learning, for the shared task on stance
detection. Our official submission, the random forest model, reaches a score of 63.60, and is …

[PDF][PDF] Comparative analysis of text classification algorithms for automated labelling of Quranic verses

AO Adeleke, NA Samsudin, A Mustapha… - Int. J. Adv. Sci. Eng …, 2017 - researchgate.net
The ultimate goal of labelling a Quranic verse is to determine its corresponding theme.
However, the existing Quranic verse labelling approach is primarily depending on the …

[PDF][PDF] Classification scheme of unstructured text document using TF-IDF and naive bayes classifier

JY Yoo, D Yang - Advanced Science and Technology Letters, 2015 - scholar.archive.org
Recently due to large-scale data spread in digital economy, the era of big data is coming.
Through big data, unstructured text data consisting of technical text document, confidential …

Multi-class support vector machine via maximizing multi-class margins

J Xu, X Liu, Z Huo, C Deng, F Nie… - The 26th International Joint …, 2017 - par.nsf.gov
Support Vector Machine (SVM) is originally proposed as a binary classification model, and it
has already achieved great success in different applications. In reality, it is more often to …

Automated labeling of bugs and tickets using attention-based mechanisms in recurrent neural networks

V Lyubinets, T Boiko, D Nicholas - 2018 IEEE Second …, 2018 - ieeexplore.ieee.org
We explore solutions for automated labeling of content in bug trackers and customer support
systems. In order to do that, we classify content in terms of several criteria, such as priority or …

Comparative analysis of classification techniques for network fault management

M Madi, F Jarghon, Y Fazea… - Turkish Journal of …, 2020 - journals.tubitak.gov.tr
Network troubleshooting is a significant process. Many studies were conducted about it. The
first step in the troubleshooting procedures is represented in collecting information. It's …

Klasifikasi Helpdesk Menggunakan Metode Support Vector Machine

SH Kusumahadi, H Junaedi… - Jurnal Informatika …, 2019 - ejournal.poltekharber.ac.id
Helpdesk secara online dengan sistem ticketing dengan bantuan operator sering kali
mengalami permasalahan seperti proses pendelegasian yang kurang tepat, lamanya waktu …

An empirical evaluation of linear and nonlinear kernels for text classification using support vector machines

Y Gao, S Sun - 2010 seventh international conference on fuzzy …, 2010 - ieeexplore.ieee.org
This paper compares the performance of linear and nonlinear kernels of Support Vector
Machines (SVM) used for text classification. The study is motivated by the previous viewpoint …