The impact of preprocessing on text classification

AK Uysal, S Gunal - Information processing & management, 2014 - Elsevier
Preprocessing is one of the key components in a typical text classification framework. This
paper aims to extensively examine the impact of preprocessing on text classification in terms …

Spam filtering using a logistic regression model trained by an artificial bee colony algorithm

BK Dedeturk, B Akay - Applied Soft Computing, 2020 - Elsevier
Email spam is a serious problem that annoys recipients and wastes their time. Machine-
learning methods have been prevalent in spam detection systems owing to their efficiency in …

Application of natural language processing and machine learning boosted with swarm intelligence for spam email filtering

N Bacanin, M Zivkovic, C Stoean, M Antonijevic… - Mathematics, 2022 - mdpi.com
Spam represents a genuine irritation for email users, since it often disturbs them during their
work or free time. Machine learning approaches are commonly utilized as the engine of …

Feature selection based on term frequency deviation rate for text classification

H Zhou, Y Ma, X Li - Applied Intelligence, 2021 - Springer
Feature selection is a technique to select a subset of the most relevant features for modeling
training. In this paper, a new concept of TDR is firstly proposed to improve the classification …

Filtering turkish spam using LSTM from deep learning techniques

EE Eryılmaz, DÖ Şahin, E Kılıç - 2020 8th International …, 2020 - ieeexplore.ieee.org
E-mails are used effectively by people or communities who want to do propaganda,
advertisement, and phishing because of their ease of use and low cost. People or …

Machine learning based spam e-mail detection system for Turkish

EE Eryilmaz, DO Şahin, E Kılıç - 2020 5th International …, 2020 - ieeexplore.ieee.org
Electronic mail is a digital letter sent over the internet. All types of files such as documents,
pictures, music, videos can be attached to emails and transferred to the recipient's computer …

Detection of Spam E-mails with Machine Learning Methods

H Karamollaoglu, İA Dogru… - 2018 Innovations in …, 2018 - ieeexplore.ieee.org
E-mail communication is one of today's indispensable communication ways. The
widespread use of email has brought about some problems. The most important one of …

Türkçe istenmeyen e-postaların farklı öznitelik seçim yöntemleri kullanılarak makine öğrenmesi algoritmaları ile tespit edilmesi

EE Eryılmaz, DÖ Şahin, E Kılıç - Türkiye Bilişim Vakfı Bilgisayar …, 2020 - dergipark.org.tr
Elektronik postalar, kullanımının kolaylığı, maliyetlerinin ucuz olmasından dolayı
propaganda, reklam, oltalama yapmak isteyen kişi veya topluluklar tarafından etkin bir …

Training a logistic regression machine learning model for spam email detection using the teaching-learning-based-optimization algorithm

BK Berrou, K Al Kalbani, M Antonijevic… - Proceedings of the …, 2023 - books.google.com
Spam and emails have always been intrinsically linked since the creation of the Advanced
Research Projects Agency Network, otherwise known as (ARPANET). The latter witnessed …

İstenmeyen Epostaların Tespiti için Kullanılan Yöntemlerin İncelenmesi

EE ERYILMAZ, E KILIÇ - Dicle Üniversitesi Mühendislik Fakültesi …, 2020 - dergipark.org.tr
İstenmeyen elektronik postalar alıcıya rızası dışında gönderilen ve genellikle kötü niyetli
veya tanıtım amaçlı olan kişilerin başvurduğu bir yöntemdir. Elektronik postalar, kullanımının …