A comprehensive survey on sentiment analysis: Approaches, challenges and trends
Sentiment analysis (SA), also called Opinion Mining (OM) is the task of extracting and
analyzing people's opinions, sentiments, attitudes, perceptions, etc., toward different entities …
analyzing people's opinions, sentiments, attitudes, perceptions, etc., toward different entities …
A systematic review and research perspective on recommender systems
Recommender systems are efficient tools for filtering online information, which is
widespread owing to the changing habits of computer users, personalization trends, and …
widespread owing to the changing habits of computer users, personalization trends, and …
Sentiment analysis of big data: methods, applications, and open challenges
The development of IoT technologies and the massive admiration and acceptance of social
media tools and applications, new doors of opportunity have been opened for using data …
media tools and applications, new doors of opportunity have been opened for using data …
Assessing product competitive advantages from the perspective of customers by mining user-generated content on social media
User-generated content (UGC) is becoming increasingly available on social media for a
wide range of products and services. Such UGC contains rich information about customer …
wide range of products and services. Such UGC contains rich information about customer …
Social movie recommender system based on deep autoencoder network using Twitter data
H Tahmasebi, R Ravanmehr… - Neural Computing and …, 2021 - Springer
Recommender systems attempt to provide effective suggestions to each user based on their
interests and behaviors. These recommendations usually match the personal user …
interests and behaviors. These recommendations usually match the personal user …
Movie recommendation system using sentiment analysis from microblogging data
Recommendation systems (RSs) have garnered immense interest for applications in e-
commerce and digital media. Traditional approaches in RSs include such as collaborative …
commerce and digital media. Traditional approaches in RSs include such as collaborative …
[Retracted] Intelligent Recommendation System Based on Mathematical Modeling in Personalized Data Mining
Y Cui - Mathematical Problems in Engineering, 2021 - Wiley Online Library
With the advent of the era of big data, data mining has become one of the key technologies
in the field of research and business. In order to improve the efficiency of data mining, this …
in the field of research and business. In order to improve the efficiency of data mining, this …
A sentiment‐enhanced hybrid recommender system for movie recommendation: a big data analytics framework
Y Wang, M Wang, W Xu - Wireless Communications and …, 2018 - Wiley Online Library
Movie recommendation in mobile environment is critically important for mobile users. It
carries out comprehensive aggregation of user's preferences, reviews, and emotions to help …
carries out comprehensive aggregation of user's preferences, reviews, and emotions to help …
CARM: Confidence-aware recommender model via review representation learning and historical rating behavior in the online platforms
The recommendation systems in the online platforms often suffer from the rating data
sparseness and information overload issues. Previous studies on this topic often leverage …
sparseness and information overload issues. Previous studies on this topic often leverage …
Personalized real-time movie recommendation system: Practical prototype and evaluation
With the eruption of big data, practical recommendation schemes are now very important in
various fields, including e-commerce, social networks, and a number of web-based services …
various fields, including e-commerce, social networks, and a number of web-based services …