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A Hybrid Recommendation System of Upcoming Movies Using Sentiment Analysis of YouTube Trailer Reviews

https://doi.org/10.3390/math10091568
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Lexical data augmentation for sentiment analysis
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A hybrid intelligent service recommendation by latent semantics and explicit ratings
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Deep learning for sentiment analysis: A survey
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Content-based Recommender Systems: State of the Art and Trends
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Evaluating Recommendation Systems
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Advances in Collaborative Filtering
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A Practical Guide to Sentiment Analysis
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Social Networking in Web Based Movie Recommendation System
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Content-Based Recommendation Systems
inferredcites →https://doi.org/10.1007/978-3-540-72079-9_12openalex-snapshot
Hybrid Web Recommender Systems
inferredcites →https://doi.org/10.1007/978-981-10-8360-0_8openalex-snapshot
Movie Recommendation System Using Genome Tags and Content-Based Filtering
inferredcites →https://doi.org/10.1007/978-981-13-1927-3_42openalex-snapshot
Content-Based Movie Recommendation System Using Genre Correlation
inferredcites →https://doi.org/10.1007/s00521-016-2817-3openalex-snapshot
Recommender system with grey wolf optimizer and FCM
inferredcites →https://doi.org/10.1007/s00521-017-3338-4openalex-snapshot
Movie recommender system with metaheuristic artificial bee
inferredcites →https://doi.org/10.1007/s11257-019-09221-yopenalex-snapshot
Movie genome: alleviating new item cold start in movie recommendation
inferredcites →https://doi.org/10.1007/s41060-022-00315-2openalex-snapshot
Learning from word semantics to sentence syntax by graph convolutional networks for aspect-based sentiment analysis
inferredcites →https://doi.org/10.1016/j.asej.2014.04.011openalex-snapshot
Sentiment analysis algorithms and applications: A survey
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A personalized auxiliary material recommendation system based on learning style on Facebook applying an artificial bee colony algorithm
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Recommendation systems: Principles, methods and evaluation
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The role of user mood in movie recommendations
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Social knowledge-based recommender system. Application to the movies domain
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A hybrid recommender system using artificial neural networks
inferredcites →https://doi.org/10.1016/j.eswa.2017.08.008openalex-snapshot
Content-based filtering for recommendation systems using multiattribute networks
inferredcites →https://doi.org/10.1016/j.eswa.2020.113248openalex-snapshot
Resolving data sparsity and cold start problem in collaborative filtering recommender system using Linked Open Data
inferredcites →https://doi.org/10.1016/j.eswa.2020.113452openalex-snapshot
A hybrid recommender system for recommending relevant movies using an expert system
inferredcites →https://doi.org/10.1016/j.future.2021.06.001openalex-snapshot
Representing emotions with knowledge graphs for movie recommendations
inferredcites →https://doi.org/10.1016/j.inffus.2018.03.007openalex-snapshot
Consensus vote models for detecting and filtering neutrality in sentiment analysis
inferredcites →https://doi.org/10.1016/j.ins.2011.08.026openalex-snapshot
A hybrid recommender system for the selective dissemination of research resources in a Technology Transfer Office
inferredcites →https://doi.org/10.1016/j.ins.2022.03.082openalex-snapshot
Aggregated graph convolutional networks for aspect-based sentiment classification
inferredcites →https://doi.org/10.1016/j.ipm.2014.09.002openalex-snapshot
Mining affective text to improve social media item recommendation
inferredcites →https://doi.org/10.1016/j.ipm.2021.102531openalex-snapshot
A movie recommendation method based on users' positive and negative profiles
inferredcites →https://doi.org/10.1016/j.joi.2009.01.003openalex-snapshot
Sentiment analysis: A combined approach
inferredcites →https://doi.org/10.1016/j.knosys.2011.06.005openalex-snapshot
Improving collaborative filtering recommender system results and performance using genetic algorithms
inferredcites →https://doi.org/10.1016/j.knosys.2015.06.015openalex-snapshot
A survey on opinion mining and sentiment analysis: Tasks, approaches and applications
inferredcites →https://doi.org/10.1016/j.knosys.2017.08.015openalex-snapshot
Semantics-aware Recommender Systems exploiting Linked Open Data and graph-based features
inferredcites →https://doi.org/10.1016/j.knosys.2021.107643openalex-snapshot
Aspect-based sentiment analysis via affective knowledge enhanced graph convolutional networks
inferredcites →https://doi.org/10.1016/j.neucom.2015.09.134openalex-snapshot
An intelligent movie recommendation system through group-level sentiment analysis in microblogs
inferredcites →https://doi.org/10.1016/j.neucom.2021.09.057openalex-snapshot
BiERU: Bidirectional emotional recurrent unit for conversational sentiment analysis
inferredcites →https://doi.org/10.1023/a:1021240730564openalex-snapshot
Hybrid Recommender Systems: Survey and Experiments
inferredcites →https://doi.org/10.1080/09720510.2020.1799503openalex-snapshot
A novel hybrid approach towards movie recommender systems
inferredcites →https://doi.org/10.1109/mis.2016.31openalex-snapshot
Affective Computing and Sentiment Analysis
inferredcites →https://doi.org/10.1109/tcss.2020.2993585openalex-snapshot
Movie Recommendation System Using Sentiment Analysis From Microblogging Data
inferredcites →https://doi.org/10.1109/tii.2016.2631138openalex-snapshot
Hybrid Recommender Systems based on Content Feature Relationship
inferredcites →https://doi.org/10.1109/tkde.2019.2913641openalex-snapshot
SentiDiff: Combining Textual Information and Sentiment Diffusion Patterns for Twitter Sentiment Analysis
inferredcites →https://doi.org/10.1142/s0218488520500294openalex-snapshot
Multi-Level Fine-Scaled Sentiment Sensing with Ambivalence Handling
inferredcites →https://doi.org/10.1145/138859.138861openalex-snapshot
Information filtering and information retrieval
inferredcites →https://doi.org/10.1145/138859.138867openalex-snapshot
Using collaborative filtering to weave an information tapestry
inferredcites →https://doi.org/10.1145/1458082.1458205openalex-snapshot
SoRec
inferredcites →https://doi.org/10.1145/1961209.1961212openalex-snapshot
Improving Recommender Systems by Incorporating Social Contextual Information
inferredcites →https://doi.org/10.1145/2362499.2362501openalex-snapshot
Linked open data to support content-based recommender systems
inferredcites →https://doi.org/10.1145/2623330.2623758openalex-snapshot
Jointly modeling aspects, ratings and sentiments for movie recommendation (JMARS)
inferredcites →https://doi.org/10.1145/2959100.2959165openalex-snapshot
Convolutional Matrix Factorization for Document Context-Aware Recommendation
inferredcites →https://doi.org/10.1145/3109859.3109908openalex-snapshot
Exploring the Semantic Gap for Movie Recommendations
inferredcites →https://doi.org/10.1145/3459091openalex-snapshot
Movie Recommendation System to Solve Data Sparsity Using Collaborative Filtering Approach
inferredcites →https://doi.org/10.1145/963770.963775openalex-snapshot
Applying associative retrieval techniques to alleviate the sparsity problem in collaborative filtering
inferredcites →https://doi.org/10.1155/2009/421425openalex-snapshot
A Survey of Collaborative Filtering Techniques
inferredcites →https://doi.org/10.1155/2015/145636openalex-snapshot
A Hybrid Recommender System Based on User-Recommender Interaction
inferredcites →https://doi.org/10.14569/ijacsa.2014.051006openalex-snapshot
Application of Content-Based Approach in Research Paper Recommendation System for a Digital Library
inferredcites →https://doi.org/10.1609/aaai.v29i1.9183openalex-snapshot
Content-Based Collaborative Filtering for News Topic Recommendation
inferredcites →https://doi.org/10.26599/tst.2018.9010118openalex-snapshot
Personalized real-time movie recommendation system: Practical prototype and evaluation
inferredcites →https://doi.org/10.3115/1118693.1118704openalex-snapshot
Thumbs up?
inferredcites →https://doi.org/10.3390/s21165666openalex-snapshot
An Approach to Integrating Sentiment Analysis into Recommender Systems
inferredcites →https://doi.org/10.4018/ijaci.2017100104openalex-snapshot
PCA as Dimensionality Reduction for Large-Scale Image Retrieval Systems
inferredcites →https://doi.org/10.5555/777092.777124openalex-snapshot
Content-boosted collaborative filtering for improved recommendations

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Music Video Search System Based on Comment Data and Lyrics
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Recommendation Method and System for Fitness of Children and Adolescents Based on Ant Colony Algorithm
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Order-Sensitivity Sentiment dictionary of word sequences containing intensifiers
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Gated Recurrent Unit-Based Deep Learning Framework for Personalized and Sequential Smart TV Content Recommendation
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Mapping research trends and predicting citations in recommender systems papers using natural language processing and machine learning
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Integrated sentiment analysis with BERT for enhanced hybrid recommendation systems
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Decoding emotions: LSTM-based sentiment analysis for movie reviews and YouTube comments
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Investigation on Effective Machine Learning Techniques for Sentiment Analysis
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Developing an Application for Intelligent Transportation System for Emergency Health Care
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EDTE: Dynamic Topic–Sentiment Cross-Attentive Fusion for Movie Recommendation
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Enhancing Movie Recommendation Systems Through Explainable Machine Learning Models in the Entertainment Industry
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A Comparative Analysis Between Deep Learning and Machine Learning Algorithms Based on User Review Sentiment Analysis from Various OTT Applications
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Personalized Movie Recommendation System based on Proximal Policy Optimization
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Personalized Music Recommendation System using Hybrid Deep Birch Data Analytics Method
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Sentiment Analysis of YouTube Culinary Content on "WNK" Restaurant Using Text Mining Technique with VADER
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A Hybrid Skincare Recommender System based on User Feedback Reviews
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ICCVAE: Item Concept Causal Variational Auto-Encoder for top-n recommendation
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Conceptualizing Hybrid Descriptive-Semantic Techniques to Enhance Sentiment Analysis of YouTube Reviews: Malaysian Island Contexts
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