Deep learning in news recommender systems: A comprehensive survey, challenges and future trends
Nowadays, people prefer to read news articles from online sources worldwide due to their
easiness and availability. For the last few years, online searching for required information or …
easiness and availability. For the last few years, online searching for required information or …
Intelligent fake reviews detection based on aspect extraction and analysis using deep learning
In the era of social networking and e-commerce sites, users provide their feedback and
comments in the form of reviews for any product, topic, or organization. Due to high influence …
comments in the form of reviews for any product, topic, or organization. Due to high influence …
Toward point-of-interest recommendation systems: A critical review on deep-learning Approaches
In recent years, location-based social networks (LBSNs) that allow members to share their
location and provide related services, and point-of-interest (POIs) recommendations which …
location and provide related services, and point-of-interest (POIs) recommendations which …
Recop: fine-grained opinions and sentiments-based recommender system for industry 5.0
In the futuristic Industry framework, user interactions with the product are seamlessly
integrated with the product life cycle which results in Information overload. The shopbots …
integrated with the product life cycle which results in Information overload. The shopbots …
To Share or Not to Share: Understanding and Modeling Individual Disclosure Preferences in Recommender Systems for the Workplace
Newly-formed teams often encounter the challenge of members coming together to
collaborate on a project without prior knowledge of each other's working and communication …
collaborate on a project without prior knowledge of each other's working and communication …
Cross‐domain sentiment classification using decoding‐enhanced bidirectional encoder representations from transformers with disentangled attention
Cross‐domain sentiment classification is a significant task of sentiment analysis that
objectives to predict the opinion orientation of text documents in the target domain by using …
objectives to predict the opinion orientation of text documents in the target domain by using …
Hybrid Deep Neural Networks for Improved Sentiment Analysis in Social Media
SAA Ameer, R Khalid, AHO Al Mansor… - … Conference on Secure …, 2023 - ieeexplore.ieee.org
Based on S-BERT pre-trained embeddings, this body of work suggests an approach to
sentiment analysis using a convolutional neural network (CNN). GloVe and Word2Vec …
sentiment analysis using a convolutional neural network (CNN). GloVe and Word2Vec …
Stage by stage E-Ecommerce market database analysis by using machine learning models
N Ryali, N Manne, A Ravisankar… - … on Internet of Things, 2024 - publications.eai.eu
In the recent era, advertising strategies are far more sophisticated than those of their
predecessors. In marketing, business contacts are essential for online transactions. For that …
predecessors. In marketing, business contacts are essential for online transactions. For that …
Knowledge Adaptation for Cross-Domain Opinion Mining
Automatic opinion mining of web 2.0 texts is critical for understanding people's viewpoints
and assisting them in making informed decisions. Trained machines perform well in the …
and assisting them in making informed decisions. Trained machines perform well in the …
Diabetes Prediction Model for Better Clarification by using Machine Learning
JL Eben, R Jayasudha, S Ramya… - 2023 International …, 2023 - ieeexplore.ieee.org
Diabetes mellitus is one of the most pressing health concerns because so many people are
afflicted by its disabling symptoms. Factors such as age, excess body fat, insufficient …
afflicted by its disabling symptoms. Factors such as age, excess body fat, insufficient …