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Deep Representation Learning of User Preferences for Opinionclassification

https://doi.org/10.2139/ssrn.4676404
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Sentiment analysis on product reviews based on weighted word embeddings and deep neural networks
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Sentiment analysis based on improved pre-trained word embeddings
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Resolving data sparsity and cold start problem in collaborative filtering recommender system using Linked Open Data
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Ensemble topic modeling using weighted term co-associations
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A new topic modeling based approach for aspect extraction in aspect based sentiment analysis: SS-LDA
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A three-way clustering approach for handling missing data using GTRS
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A review of natural language processing techniques for opinion mining systems
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Hybrid recommendation by incorporating the sentiment of product reviews
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Assessing the effectiveness of a three-way decision-making framework with multiple features in simulating human judgement of opinion classification
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A comparative performance evaluation of neural network based approach for sentiment classification of online reviews
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Deep multi-view learning methods: A review
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Refined SBERT: Representing sentence BERT in manifold space
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Movie Recommendation Algorithm Based on Sentiment Analysis and LDA
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Analysis of Dimensionality Reduction Techniques on Big Data
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Sparsity adjusted information gain for feature selection in sentiment analysis
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Trends, problems and solutions of recommender system
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A comparison of linear discriminant analysis and ridge classifier on Twitter data
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Comparison of Naive Bayes smoothing methods for Twitter sentiment analysis
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Comparative analysis of the techniques for Sentiment Analysis
inferredcites →https://doi.org/10.1109/icastech.2018.8506717openalex-extracted
Sentiment Analysis with Word Embedding
inferredcites →https://doi.org/10.1109/icccbda51879.2021.9442593openalex-extracted
Sentiment Analysis of Weak-RuleText Based on the Combination of Sentiment Lexicon and Neural Network
inferredcites →https://doi.org/10.1109/iccit-144147971.2020.9213721openalex-extracted
A Semi-Supervised Approach for User Reviews Topic Modeling and Classification
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inferredcites →https://doi.org/10.1109/icter.2018.8615481openalex-extracted
Opinion Classification using Pattern Mining and Fuzzy Logic
inferredcites →https://doi.org/10.1109/inaes.2017.8068556openalex-extracted
Twitter sentiment analysis using deep learning methods
inferredcites →https://doi.org/10.1109/indiacom51348.2021.00084openalex-extracted
Ensemble Sentiment Model: Bagging with Linear Discriminant Analysis (BLDA)
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Rating Prediction Based on Social Sentiment From Textual Reviews
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Collaborative Filtering beyond the User-Item Matrix
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Like It or Not
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Neural Collaborative Filtering
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Research on Collaborative Filtering Recommendation Algorithm Based on Sentiment Analysis and Topic Model
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Predicting Attributes of Nodes Using Network Structure
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Extracting Product Features and Opinion Words Using Pattern Knowledge in Customer Reviews
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An Intelligent Data Analysis for Recommendation Systems Using Machine Learning
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Identifying key success factors for startups With sentiment analysis using text data mining
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Multi-criteria collaborative filtering recommender by fusing deep neural network and matrix factorization
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The performance of BERT as data representation of text clustering
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Machine Learning-Based Sentiment Analysis for Twitter Accounts
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An Approach to Integrating Sentiment Analysis into Recommender Systems
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Classification of Sentiment of Reviews using Supervised Machine Learning Techniques
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Self voting classification model for online meeting app review sentiment analysis and topic modeling
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A hybrid recommendation algorithm based on user comment sentiment and matrix decomposition
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