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A review on sentiment discovery and analysis of educational big‐data

https://doi.org/10.1002/widm.1328
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Sentiment strength detection in short informal text
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Sentiment analysis and opinion mining: on optimal parameters and performances
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Evolvable Recommendation System in the Portable Device Based on the Emotion Awareness
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Gesture-Based Affective Computing on Motion Capture Data
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Emotion Recognition Using Physiological Signals
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Multimodal emotion recognition from expressive faces, body gestures and speech
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Analysis of Emotions Through Speech Using the Combination of Multiple Input Sources with Deep Convolutional and LSTM Networks
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Sentiment Analysis and Opinion Mining
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Using Facial Expression to Detect Emotion in E-learning System: A Deep Learning Method
inferredcites →https://doi.org/10.1007/978-3-319-95020-4_7openalex-snapshot
Combining Textual Clues with Audio-Visual Information for Multimodal Sentiment Analysis
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A Novel Multi-modal Integration and Propagation Model for Cross-Media Information Retrieval
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Emotions Detection from Math Exercises by Combining Several Data Sources
inferredcites →https://doi.org/10.1007/978-981-13-1747-7_25openalex-snapshot
Aspect-Based Sentiment Analysis of Students’ Feedback to Improve Teaching–Learning Process
inferredcites →https://doi.org/10.1007/bf00990296openalex-snapshot
The contribution of general features of body movement to the attribution of emotions
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Emotion recognition system using short-term monitoring of physiological signals
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Towards real-time speech emotion recognition for affective e-learning
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End-to-middle-to-end solution for IMS media plane security
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Sentiment-enhanced learning model for online language learning system
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Sentiment analysis for online reviews using conditional random fields and support vector machines
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Study of feature combination using HMM and SVM for multilingual Odiya speech emotion recognition
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Student mental state inference from unintentional body gestures using dynamic Bayesian networks
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Investigation of the effect of spectrogram images and different texture analysis methods on speech emotion recognition
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Sentiment analysis algorithms and applications: A survey
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Measuring emotions in students’ learning and performance: The Achievement Emotions Questionnaire (AEQ)
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Sentiment analysis in Facebook and its application to e-learning
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Computer-supported collaborative learning: An analysis of the relationship between interaction, emotional support and online collaborative tools
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Making objective decisions from subjective data: Detecting irony in customer reviews
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A feature selection method based on improved fisher’s discriminant ratio for text sentiment classification
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Machine learning-based multi-documents sentiment-oriented summarization using linguistic treatment
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Not that different in theory: Discussing the control-value theory of emotions in online learning environments
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Sitagliptin and the risk of hospitalization for heart failure: A population-based study
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Affective interaction: How emotional agents affect users
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Beyond the hype: Big data concepts, methods, and analytics
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A survey of multimodal sentiment analysis
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A review of affective computing: From unimodal analysis to multimodal fusion
inferredcites →https://doi.org/10.1016/j.ins.2016.09.002openalex-snapshot
Microblog sentiment classification with heterogeneous sentiment knowledge
inferredcites →https://doi.org/10.1016/j.knosys.2013.10.019openalex-snapshot
Recognizing and regulating e-learners’ emotions based on interactive Chinese texts in e-learning systems
inferredcites →https://doi.org/10.1016/j.knosys.2018.04.006openalex-snapshot
Sentiment classification with word localization based on weakly supervised learning with a convolutional neural network
inferredcites →https://doi.org/10.1016/j.learninstruc.2011.10.001openalex-snapshot
Dynamics of affective states during complex learning
inferredcites →https://doi.org/10.1016/j.neucom.2015.01.095openalex-snapshot
Fusing audio, visual and textual clues for sentiment analysis from multimodal content
inferredcites →https://doi.org/10.1016/j.neucom.2019.04.038openalex-snapshot
Sentiment analysis through critic learning for optimizing convolutional neural networks with rules
inferredcites →https://doi.org/10.1016/j.procs.2018.04.056openalex-snapshot
Learning Emotions EEG-based Recognition and Brain Activity: A Survey Study on BCI for Intelligent Tutoring System
inferredcites →https://doi.org/10.1016/s0167-6393(03)00099-2openalex-snapshot
Speech emotion recognition using hidden Markov models
inferredcites →https://doi.org/10.1037/amp0000147openalex-snapshot
Voice-only communication enhances empathic accuracy.
inferredcites →https://doi.org/10.1037/edu0000228openalex-snapshot
Emotion transmission in the classroom revisited: A reciprocal effects model of teacher and student enjoyment.
inferredcites →https://doi.org/10.1080/02699939208411068openalex-snapshot
An argument for basic emotions
inferredcites →https://doi.org/10.1080/03004430.2016.1148694openalex-snapshot
In search of an aesthetic pathway: young children's encounters with drama
inferredcites →https://doi.org/10.1080/03004430.2017.1363740openalex-snapshot
‘Show me your mad faces!’ preschool teachers’ emotion talk in the classroom
inferredcites →https://doi.org/10.1080/10494820.2018.1457544openalex-snapshot
Seeking optimal confusion: a review on epistemic emotion management in interactive digital learning environments
inferredcites →https://doi.org/10.1109/34.954607openalex-snapshot
Toward machine emotional intelligence: analysis of affective physiological state
inferredcites →https://doi.org/10.1109/acii.2013.58openalex-snapshot
Hybrid Deep Neural Network--Hidden Markov Model (DNN-HMM) Based Speech Emotion Recognition
inferredcites →https://doi.org/10.1109/acii.2017.8273614openalex-snapshot
Affect recognition in an interactive gaming environment using eye tracking
inferredcites →https://doi.org/10.1109/cvpr.2012.6247923openalex-snapshot
Generalized Multiview Analysis: A discriminative latent space
inferredcites →https://doi.org/10.1109/cvprw.2003.10047openalex-snapshot
Automated Posture Analysis for Detecting Learner's Interest Level
inferredcites →https://doi.org/10.1109/icassp.2017.7953109openalex-snapshot
Prediction-based learning for continuous emotion recognition in speech
inferredcites →https://doi.org/10.1109/icdm.2016.0055openalex-snapshot
Convolutional MKL Based Multimodal Emotion Recognition and Sentiment Analysis
inferredcites →https://doi.org/10.1109/icme.2017.8019301openalex-snapshot
Select-additive learning: Improving generalization in multimodal sentiment analysis
inferredcites →https://doi.org/10.1109/icmlc.2008.4621018openalex-snapshot
Facial emotion recognition in modern distant education system using SVM
inferredcites →https://doi.org/10.1109/icpr.2006.541openalex-snapshot
Facial Feature Tracking using a Multi-State Hierarchical Shape Model under Varying Face Pose and Facial Expression
inferredcites →https://doi.org/10.1109/ism.2008.40openalex-snapshot
Audio-Visual Emotion Recognition Using Gaussian Mixture Models for Face and Voice
inferredcites →https://doi.org/10.1109/mci.2013.2291688openalex-snapshot
Frame-Based Detection of Opinion Holders and Topics: A Model and a Tool
inferredcites →https://doi.org/10.1109/mci.2015.2471215openalex-snapshot
Sentiment Data Flow Analysis by Means of Dynamic Linguistic Patterns
inferredcites →https://doi.org/10.1109/mis.2013.34openalex-snapshot
YouTube Movie Reviews: Sentiment Analysis in an Audio-Visual Context
inferredcites →https://doi.org/10.1109/mis.2016.31openalex-snapshot
Affective Computing and Sentiment Analysis
inferredcites →https://doi.org/10.1109/mis.2016.94openalex-snapshot
Multimodal Sentiment Intensity Analysis in Videos: Facial Gestures and Verbal Messages
inferredcites →https://doi.org/10.1109/mis.2018.2882362openalex-snapshot
Multimodal Sentiment Analysis: Addressing Key Issues and Setting Up the Baselines
inferredcites →https://doi.org/10.1109/msp.2011.941851openalex-snapshot
Aesthetics and Emotions in Images
inferredcites →https://doi.org/10.1109/msp.2012.2205597openalex-snapshot
Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
inferredcites →https://doi.org/10.1109/t-affc.2013.17openalex-snapshot
Anchor Models for Emotion Recognition from Speech
inferredcites →https://doi.org/10.1109/t4e.2015.21openalex-snapshot
An E-Learning System with Multifacial Emotion Recognition Using Supervised Machine Learning
inferredcites →https://doi.org/10.1109/taslp.2015.2443982openalex-snapshot
Sentence Compression for Aspect-Based Sentiment Analysis
inferredcites →https://doi.org/10.1109/tcyb.2017.2734043openalex-snapshot
Stochastic Configuration Networks: Fundamentals and Algorithms
inferredcites →https://doi.org/10.1109/tmm.2017.2766843openalex-snapshot
Speech Emotion Recognition Using Deep Convolutional Neural Network and Discriminant Temporal Pyramid Matching
inferredcites →https://doi.org/10.1109/tmm.2018.2803520openalex-snapshot
Visual Sentiment Prediction Based on Automatic Discovery of Affective Regions
inferredcites →https://doi.org/10.1109/tpami.2008.26openalex-snapshot
Emotion recognition based on physiological changes in music listening
inferredcites →https://doi.org/10.1109/tpami.2016.2577031openalex-snapshot
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
inferredcites →https://doi.org/10.1111/bjet.12324openalex-snapshot
Review of affective computing in education/learning: Trends and challenges
inferredcites →https://doi.org/10.1145/1557019.1557156openalex-snapshot
Sentiment analysis of blogs by combining lexical knowledge with text classification
inferredcites →https://doi.org/10.1145/1631111.1631118openalex-snapshot
Towards affective learning with an EEG feedback approach
inferredcites →https://doi.org/10.1145/1873951.1873965openalex-snapshot
Affective image classification using features inspired by psychology and art theory
inferredcites →https://doi.org/10.1145/1873951.1873987openalex-snapshot
A new approach to cross-modal multimedia retrieval
inferredcites →https://doi.org/10.1145/1873951.1874060openalex-snapshot
Analyzing and predicting sentiment of images on the social web
inferredcites →https://doi.org/10.1145/2339530.2339648openalex-snapshot
SPF-GMKL
inferredcites →https://doi.org/10.1145/2393347.2393384openalex-snapshot
On shape and the computability of emotions
inferredcites →https://doi.org/10.1145/2393347.2396296openalex-snapshot
Context-aware affective images classification based on bilayer sparse representation
inferredcites →https://doi.org/10.1145/2393347.2396330openalex-snapshot
Can we understand van gogh's mood?
inferredcites →https://doi.org/10.1145/2502069.2502079openalex-snapshot
Sentribute
inferredcites →https://doi.org/10.1145/2502081.2502282openalex-snapshot
Large-scale visual sentiment ontology and detectors using adjective noun pairs
inferredcites →https://doi.org/10.1145/2647868.2654930openalex-snapshot
Exploring Principles-of-Art Features For Image Emotion Recognition
inferredcites →https://doi.org/10.1145/2829875.2829882openalex-snapshot
Facial Emotion Analysis in Down's syndrome children in classroom
inferredcites →https://doi.org/10.1145/3057270openalex-snapshot
Current State of Text Sentiment Analysis from Opinion to Emotion Mining
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1145/3136755.3136801openalex-snapshot
Multimodal sentiment analysis with word-level fusion and reinforcement learning
inferredcites →https://doi.org/10.1155/2016/2385429openalex-snapshot
Lexicon-Based Sentiment Analysis of Teachers’ Evaluation
inferredcites →https://doi.org/10.1162/coli_a_00049openalex-snapshot
Lexicon-Based Methods for Sentiment Analysis
inferredcites →https://doi.org/10.1177/0018726714532856openalex-snapshot
Negative emotions in informal feedback: The benefits of disappointment and drawbacks of anger
inferredcites →https://doi.org/10.1177/1473871613481691openalex-snapshot
Visual sentiment analysis of customer feedback streams using geo-temporal term associations
inferredcites →https://doi.org/10.1186/s40537-015-0015-2openalex-snapshot
Sentiment analysis using product review data
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Teacher Emotion and Learning as Praxis: Professional Development that Matters
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How Do Your Friends on Social Media Disclose Your Emotions?
inferredcites →https://doi.org/10.1609/aaai.v31i1.10501openalex-snapshot
Visual Sentiment Analysis by Attending on Local Image Regions
inferredcites →https://doi.org/10.18517/ijaseit.6.6.1300openalex-snapshot
An Emotion-based Model for Improving Students’ Engagement using Agent-based Social Simulator
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Multimodal Learning Analytics and Education Data Mining: using computational technologies to measure complex learning tasks
inferredcites →https://doi.org/10.18653/v1/d15-1303openalex-snapshot
Deep Convolutional Neural Network Textual Features and Multiple Kernel Learning for Utterance-level Multimodal Sentiment Analysis
inferredcites →https://doi.org/10.18653/v1/p19-1050openalex-snapshot
MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations
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Speech emotion recognition using deep neural network and extreme learning machine
inferredcites →https://doi.org/10.21437/interspeech.2015-571openalex-snapshot
Automatic audio sentiment extraction using keyword spotting
inferredcites →https://doi.org/10.22364/bjmc.2017.5.4.06openalex-snapshot
SVM and Naïve Bayes Classification Ensemble Method for Sentiment Analysis
inferredcites →https://doi.org/10.3115/1073083.1073153openalex-snapshot
Thumbs up or thumbs down?
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Convolutional Neural Networks for Sentence Classification
inferredcites →https://doi.org/10.3217/jucs-024-11-1604openalex-snapshot
Mining of Educational Opinions with Deep Learning
inferredcites →https://doi.org/10.3758/s13428-016-0743-zopenalex-snapshot
Sentiment Analysis and Social Cognition Engine (SEANCE): An automatic tool for sentiment, social cognition, and social-order analysis
inferredcites →https://doi.org/10.4018/978-1-5225-4191-2.ch007openalex-snapshot
Perceived Innovative Teaching Procedures in Higher Education From Students' Perspectives From a Sentiment Analysis Approach
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Enhancement of Student Experience Management in Higher Education by Sentiment Analysis and Text Mining
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EmotionLines: An Emotion Corpus of Multi-Party Conversations
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Emotion Detection and Sentiment Analysis in Text Corpus: A Differential Study with Informal and Formal Writing Styles
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Physiological Signals based Day-Dependence Analysis with Metric Multidimensional Scaling for Sentiment Classification in Wearable Sensors
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Towards Efficient Multi-Modal Emotion Recognition

What points at this work

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

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Aspect based sentiment analysis on student feedback using machine learning techniques
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Scene-aware Adaptive Multimodal Fusion Based Student Learning Emotion Identification
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[Retracted] A Deep Learning‐Based TE Method for MSs’ Mental Health Analysis
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Transformer-based AI framework for optimising English teaching evaluation strategies: a data-driven and explainable approach
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Baseline Study of Different Sentiment Analysis Computing Methods to Enhance Quality Assurance In Teaching and Learning
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Sentiment Classification of Social Network Text Based on AT-BiLSTM Model in a Big Data Environment
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A Java-Based System for Collecting and Analyzing College Feedback
inferred← citeshttps://doi.org/10.7759/s44389-026-00074-2openalex-snapshot
A Cognitive Multimodal Framework for Automated Summary Assessment and Learning Performance Analysis
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