A systematic literature review on machine learning applications for consumer sentiment analysis using online reviews
Consumer sentiment analysis is a recent fad for social media-related applications such as
healthcare, crime, finance, travel, and in academia. Disentangling consumer perception to …
healthcare, crime, finance, travel, and in academia. Disentangling consumer perception to …
A survey of crypto ransomware attack detection methodologies: an evolving outlook
A Alqahtani, FT Sheldon - Sensors, 2022 - mdpi.com
Recently, ransomware attacks have been among the major threats that target a wide range
of Internet and mobile users throughout the world, especially critical cyber physical systems …
of Internet and mobile users throughout the world, especially critical cyber physical systems …
[HTML][HTML] Bidirectional convolutional recurrent neural network architecture with group-wise enhancement mechanism for text sentiment classification
A Onan - Journal of King Saud University-Computer and …, 2022 - Elsevier
Sentiment analysis has been a well-studied research direction in computational linguistics.
Deep neural network models, including convolutional neural networks (CNN) and recurrent …
Deep neural network models, including convolutional neural networks (CNN) and recurrent …
A Comprehensive Investigation of the Performances of Different Machine Learning Classifiers with SMOTE‐ENN Oversampling Technique and Hyperparameter …
M Muntasir Nishat, F Faisal, I Jahan Ratul… - Scientific …, 2022 - Wiley Online Library
Heart failure is a chronic cardiac condition characterized by reduced supply of blood to the
body due to impaired contractile properties of the muscles of the heart. Like any other …
body due to impaired contractile properties of the muscles of the heart. Like any other …
Ensemble of keyword extraction methods and classifiers in text classification
Automatic keyword extraction is an important research direction in text mining, natural
language processing and information retrieval. Keyword extraction enables us to represent …
language processing and information retrieval. Keyword extraction enables us to represent …
Sentiment analysis of text reviews using lexicon-enhanced bert embedding (LeBERT) model with convolutional neural network
Sentiment analysis has become an important area of research in natural language
processing. This technique has a wide range of applications, such as comprehending user …
processing. This technique has a wide range of applications, such as comprehending user …
A multiobjective weighted voting ensemble classifier based on differential evolution algorithm for text sentiment classification
Typically performed by supervised machine learning algorithms, sentiment analysis is highly
useful for extracting subjective information from text documents online. Most approaches that …
useful for extracting subjective information from text documents online. Most approaches that …
A hybrid ensemble pruning approach based on consensus clustering and multi-objective evolutionary algorithm for sentiment classification
Sentiment analysis is a critical task of extracting subjective information from online text
documents. Ensemble learning can be employed to obtain more robust classification …
documents. Ensemble learning can be employed to obtain more robust classification …
An ensemble scheme based on language function analysis and feature engineering for text genre classification
A Onan - Journal of Information Science, 2018 - journals.sagepub.com
Text genre classification is the process of identifying functional characteristics of text
documents. The immense quantity of text documents available on the web can be properly …
documents. The immense quantity of text documents available on the web can be properly …
[HTML][HTML] Detection of cross-site scripting (XSS) attacks using machine learning techniques: a review
With the rising demand for E-commerce, Social Networking websites, it has become
essential to develop security protocols over the World Wide Web that can provide security …
essential to develop security protocols over the World Wide Web that can provide security …