Operating machine learning across natural language processing techniques for improvement of fabricated news model

K Sharifani, M Amini, Y Akbari… - … Journal of Science …, 2022 - papers.ssrn.com
Fake news or fabricated news, refers to false information published under the guise of being
authentic news, often to influence political views. Fabricated news articles are a threat to …

[HTML][HTML] Contemporary approaches in evolving language models

D Oralbekova, O Mamyrbayev, M Othman… - Applied Sciences, 2023 - mdpi.com
This article provides a comprehensive survey of contemporary language modeling
approaches within the realm of natural language processing (NLP) tasks. This paper …

Detection of Turkish Fake News from Tweets with BERT Models

GK Koru, Ç Uluyol - IEEE Access, 2024 - ieeexplore.ieee.org
As the number of people using social networks increases, more people are using social
media platforms to meet their news needs. Users think that it is easier to follow the agenda …

[HTML][HTML] Developing an advanced software requirements classification model using bert: An empirical evaluation study on newly generated turkish data

F Yucalar - Applied Sciences, 2023 - mdpi.com
Requirements Engineering (RE) is an important step in the whole software development
lifecycle. The problem in RE is to determine the class of the software requirements as …

Automated pixel-level pavement marking detection based on a convolutional transformer

H Zhang, A He, Z Dong, AA Zhang, Y Liu… - … Applications of Artificial …, 2024 - Elsevier
Accurate detection of pavement markings at the pixel level is crucial for enhancing traffic
safety. The majority of current advanced deep-learning networks predominantly focus on …

A progressive reconstruction modeling method for aeroengine performance space based on sequence correlation

L Lin, W He, S Fu, G Ren, C Tong, L Zu - Measurement, 2024 - Elsevier
Due to the complex internal structure of aeroengine and the constraints of sensor
installation, it is often impractical to deploy many sensors inside the aeroengine to monitor …

Detecting personal health data disclosures in turkish social data

SE Erol, Ş Sağıroğlu, U Demirezen - International Journal of …, 2022 - dergipark.org.tr
The number of users of social networking environments is increasing day by day. In parallel
with the number of users, new social networking platforms are also taking place on the …

FastText Word Embedding Model in Aspect-Level Sentiment Analysis of Airline Customer Reviews for Agglutinative Languages: A Case Study for Turkish

A Özçift - The International Conference on Artificial Intelligence …, 2022 - Springer
Extraction of knowledge from user generated data is important to improve the quality of
services. Particularly, user reviews influences other consumers to make decisions about …

ADVANCED TURKISH FAKE NEWS PREDICTION WITH BIDIRECTIONAL ENCODER REPRESENTATIONS FROM TRANSFORMERS

M Bozuyla - Konya Journal of Engineering Sciences, 2022 - dergipark.org.tr
The increasing usage of social media and internet generates a significant amount of
information to be analyzed from various perspectives. In particular, fake news is defined as …

Multi-class Sentiment Analysis of COVID-19 Tweets by Machine Learning and Deep Learning Approaches

M Maaskri, SAM Mostefaoui… - Computación y …, 2024 - polibits.ojs.gelbukh.com
COVID-19 is a virus that has spread rapidly over the globe. The condition has repercussions
beyond the realm of public health. Twitter is one platform where people post reactions to …