Machine learning in marketing: Recent progress and future research directions
Decision-making in marketing has changed dramatically in the past decade. Companies
increasingly use algorithms to generate predictions for marketing decisions, such as which …
increasingly use algorithms to generate predictions for marketing decisions, such as which …
Analyzing sentiments in elearning: A comparative study of bangla and romanized bangla text using transformers
In the modern world, learning is becoming increasingly critical due to rapid technological
breakthroughs, which highlight the need for continuous skill development in both the …
breakthroughs, which highlight the need for continuous skill development in both the …
Transforming sentiment analysis for e-commerce product reviews: Hybrid deep learning model with an innovative term weighting and feature selection
Improving user satisfaction by analyzing many user reviews found on e-commerce platforms
is becoming increasingly significant in this modern world. However, accurately predicting …
is becoming increasingly significant in this modern world. However, accurately predicting …
Sentiment analysis using deep learning techniques: a comprehensive review
With the exponential growth of social media platforms and online communication, the
necessity of using automated sentiment analysis techniques has significantly increased …
necessity of using automated sentiment analysis techniques has significantly increased …
Logarithmic Learning Differential Convolutional Neural Network
Abstract Convolutional Neural Networks (CNNs) have revolutionized image classification
through their innovative design and training methodologies in computer vision. Differential …
through their innovative design and training methodologies in computer vision. Differential …
Challenges and future in deep learning for sentiment analysis: a comprehensive review and a proposed novel hybrid approach
Social media is used to categorise products or services, but analysing vast comments is time-
consuming. Researchers use sentiment analysis via natural language processing …
consuming. Researchers use sentiment analysis via natural language processing …
Natural language processing for analyzing online customer reviews: A survey, taxonomy, and open research challenges
In recent years, e-commerce platforms have become popular and transformed the way
people buy and sell goods. People are rapidly adopting Internet shopping due to the …
people buy and sell goods. People are rapidly adopting Internet shopping due to the …
Examining product quality and competitiveness via online reviews: An integrated approach of importance performance competitor analysis and Kano model
SA Kim, S Park, M Kwak, C Kang - Journal of Retailing and Consumer …, 2025 - Elsevier
Understanding and enhancing product quality and competitiveness are vital in today's
market. By leveraging the significant potential of online reviews for market-wide consumer …
market. By leveraging the significant potential of online reviews for market-wide consumer …
AE-Net: Novel Autoencoder-Based Deep Features for SQL Injection Attack Detection
Structured Query Language (SQL) injection attacks represent a critical threat to database-
driven applications and systems, exploiting vulnerabilities in input fields to inject malicious …
driven applications and systems, exploiting vulnerabilities in input fields to inject malicious …
Sentiment analysis of financial textual data using machine learning and deep learning models
HO Ahmad, SU Umar - Informatica, 2023 - informatica.si
Recently, extensive research in the field of financial sentiment analysis has been conducted.
Sentiment analysis (SA) of any text data denotes the feelings and attitudes of the individual …
Sentiment analysis (SA) of any text data denotes the feelings and attitudes of the individual …