Sentiment analysis based on deep learning: A comparative study

NC Dang, MN Moreno-García, F De la Prieta - Electronics, 2020 - mdpi.com
The study of public opinion can provide us with valuable information. The analysis of
sentiment on social networks, such as Twitter or Facebook, has become a powerful means …

[HTML][HTML] A systematic review of social media-based sentiment analysis: Emerging trends and challenges

QA Xu, V Chang, C Jayne - Decision Analytics Journal, 2022 - Elsevier
In the present information age, a wide and significant variety of social media platforms have
been developed and become an important part of modern life. Massive amounts of user …

A mini-review of machine learning in big data analytics: Applications, challenges, and prospects

IK Nti, JA Quarcoo, J Aning… - Big Data Mining and …, 2022 - ieeexplore.ieee.org
The availability of digital technology in the hands of every citizenry worldwide makes an
available unprecedented massive amount of data. The capability to process these gigantic …

RETRACTED ARTICLE: Customer centric hybrid recommendation system for E-Commerce applications by integrating hybrid sentiment analysis

AL Karn, RK Karna, BR Kondamudi, G Bagale… - Electronic commerce …, 2023 - Springer
Internet applications such as Online Social Networking and Electronic commerce are
becoming incredibly common, resulting in more content being available. Recommender …

Hybrid deep learning models for sentiment analysis

CN Dang, MN Moreno-García, F De la Prieta - Complexity, 2021 - Wiley Online Library
Sentiment analysis on public opinion expressed in social networks, such as Twitter or
Facebook, has been developed into a wide range of applications, but there are still many …

A deep learning approach for sentiment analysis of COVID-19 reviews

C Singh, T Imam, S Wibowo, S Grandhi - Applied Sciences, 2022 - mdpi.com
User-generated multi-media content, such as images, text, videos, and speech, has recently
become more popular on social media sites as a means for people to share their ideas and …

Survey on the objectives of recommender systems: Measures, solutions, evaluation methodology, and new perspectives

B Alhijawi, A Awajan, S Fraihat - ACM Computing Surveys, 2022 - dl.acm.org
Recently, recommender systems have played an increasingly important role in a wide
variety of commercial applications to help users find favourite products. Research in the …

An approach to integrating sentiment analysis into recommender systems

CN Dang, MN Moreno-García, FD Prieta - Sensors, 2021 - mdpi.com
Recommender systems have been applied in a wide range of domains such as e-
commerce, media, banking, and utilities. This kind of system provides personalized …

Multi-criteria review-based recommender system–the state of the art

SM Al-Ghuribi, SAM Noah - IEEE Access, 2019 - ieeexplore.ieee.org
In recent times, the recommender systems (RSs) have considerable importance in
academia, commercial activities, and industry. They are widely used in various domains …

An intelligent data analysis for recommendation systems using machine learning

B Ramzan, IS Bajwa, N Jamil, RU Amin… - Scientific …, 2019 - Wiley Online Library
In recent times, selection of a suitable hotel location and reservation of accommodation have
become a critical issue for the travelers. The online hotel search has been increased at a …