[PDF][PDF] A hybrid RNN based deep learning approach for text classification

P Sunagar, A Kanavalli - International Journal of …, 2022 - pdfs.semanticscholar.org
Despite the fact that text classification has grown in relevance over the last decade, there are
a plethora of approaches that have been created to meet the difficulties related with text …

[HTML][HTML] Anomalous behavior detection based on optimized graph embedding representation in social networks

L Xing, S Li, Q Zhang, H Wu, H Ma, X Zhang - Journal of King Saud …, 2024 - Elsevier
Anomalous behaviors in social networks can lead to privacy leaks and the spread of false
information. In this paper, we propose an anomalous behavior detection method based on …

[HTML][HTML] Unveiling the Correlation between Nonfunctional Requirements and Sustainable Environmental Factors Using a Machine Learning Model

S Hassan, Q Li, M Zubair, RA Alsowail, MA Qureshi - Sustainability, 2024 - mdpi.com
Integrating environmental features into software requirements during the requirements
engineering (RE) process is known as sustainable requirements engineering. Unlike …

[PDF][PDF] Classification of Conversational Sentences Using an Ensemble Pre-Trained Language Model with the Fine-Tuned Parameter.

R Sujatha, K Nimala - Computers, Materials & Continua, 2024 - cdn.techscience.cn
Sentence classification is the process of categorizing a sentence based on the context of the
sentence. Sentence categorization requires more semantic highlights than other tasks, such …

Adaptive threshold selection of anisotropic diffusion filters using spiking neural network model

M Kılıçaslan - Signal, Image and Video Processing, 2024 - Springer
Image denoising takes place as the first step in many image processing operations.
Anisotropic diffusion filters (ADFs) have remained popular for years because of their ability …

Detecting Urdu COVID-19 misinformation using transfer learning

A Hussain, AK Nawabi, M Alam, MS Iqbal… - Social Network Analysis …, 2024 - Springer
Social media has become a prominent news source for many individuals due to its
convenience and accessibility. Unfortunately, this accessibility has also facilitated the rapid …

Effectual text classification in data mining: a practical approach

I Ezzat, AW Abdulqader… - Mesopotamian Journal of …, 2023 - mesopotamian.press
Text classification is the process of setting records into classes that have already been set
up based on what they say. It automatically puts texts in natural languages into categories …

Extreme event detection and management using twitter data analysis

KK Girish, J Moni, JG Roy, CP Afreed… - … on decision aid …, 2022 - ieeexplore.ieee.org
Events like the natural disasters are impossible to predict and are inevitable. The best
course of action in that scenario is to effectively detect the event and respond to it …

Transfer Naïve Bayes Learning using Augmentation and Stacking for SMS Spam Detection

C Ulus, Z Wang, SMA Iqbal… - … on Knowledge Graph …, 2022 - ieeexplore.ieee.org
Short Message Service (SMS) spam, unsolicited messages delivered through phones, is
common and prevalent, but difficult to filter out. Naïve Bayes (NB) classifier is a frequently …

Intelligent Identification of Hate Speeches to address the increased rate of Individual Mental Degeneration

LT Ava, A Karim, MM Hassan, F Faisal, S Azam… - Procedia Computer …, 2023 - Elsevier
Hate speech is a public statement that demonstrates resentment or provokes disturbance
towards a person or group often based upon race, age, religion, sexual orientation, minority …