Semantic text classification: A survey of past and recent advances
Automatic text classification is the task of organizing documents into pre-determined classes,
generally using machine learning algorithms. Generally speaking, it is one of the most …
generally using machine learning algorithms. Generally speaking, it is one of the most …
Detecting fake news in social media using voting classifier
The availability of social media, blogs, and websites to everyone creates a lot of problems.
False news is a critical issue that can affect individuals or entire countries. Fake news can be …
False news is a critical issue that can affect individuals or entire countries. Fake news can be …
Improving automated Turkish text classification with learning‐based algorithms
Text classification is the process of determining categories or tags of a document depending
on its content. Although text classification is a well‐known process, it has many steps that …
on its content. Although text classification is a well‐known process, it has many steps that …
TF-IDF ve Doc2Vec Tabanlı Türkçe Metin Sınıflandırma Sisteminin Başarım Değerinin Ardışık Kelime Grubu Tespiti ile Arttırılması
D Kınık, A Güran - Avrupa Bilim ve Teknoloji Dergisi, 2021 - dergipark.org.tr
TF-IDF terim ağırlıklandırma ölçümü kelimelerin metinler içinde geçme sıklığı bilgisine
dayalıdır. Bu ölçüm kelimeler arasındaki anlamsal ilişkiyi barındırmamaktadır. Yapay sinir …
dayalıdır. Bu ölçüm kelimeler arasındaki anlamsal ilişkiyi barındırmamaktadır. Yapay sinir …
Classifying Indonesian Cyber Crime Cases under ITE Law Using a Hybrid of Mutual Information and Support Vector Machine.
RF Rahmat, AH Aziira, S Purnamawati… - … Journal of Safety & …, 2023 - search.ebscohost.com
In Indonesia, the process of identifying and categorizing cyberlaw infringements traditionally
involves manual procedures administered by experts, lawyers, or law enforcement …
involves manual procedures administered by experts, lawyers, or law enforcement …
Community-based Behavioral Understanding of Crisis Activity Concerns using Social Media Data: A Study on the 2023 Canadian Wildfires in New York City
New York City (NYC) topped the global chart for the worst air pollution in June 2023, owing
to the wildfire smoke drifting in from Canada. This unprecedented situation caused …
to the wildfire smoke drifting in from Canada. This unprecedented situation caused …
Cnn vs. lstm for turkish text classification
M Yayla, MD Demirkol… - … Conference on INnovations …, 2021 - ieeexplore.ieee.org
In this paper, the efficiency of two states of the art text classification techniques, ie,
Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) for supporting …
Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) for supporting …
Classification of Turkish E-Mails with Doc2Vec
In this study, it was aimed to determine the Turkish e-mails which are spam by developing
the application with machine learning techniques for Turkish e-mails. E-mails received from …
the application with machine learning techniques for Turkish e-mails. E-mails received from …
Community-Based Behavioral Understanding of Mobility Trends and Public Attitude through Transportation User and Agency Interactions on Social Media in the …
MR Alam - 2022 - digitalcommons.fiu.edu
The increased availability of technology-enabled transportation options and modern
communication devices (smartphones, in particular) is transforming travel-related decision …
communication devices (smartphones, in particular) is transforming travel-related decision …
[PDF][PDF] Detecting Fake News in Social Media Using Voting Classifier
A ATWAN, E EL-DAYDAMONY - academia.edu
The availability of social media, blogs, and websites to everyone creates a lot of problems.
False news is a critical issue that can affect individuals or entire countries. Fake news can be …
False news is a critical issue that can affect individuals or entire countries. Fake news can be …