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Exploring Impact of Age and Gender on Sentiment Analysis Using Machine Learning
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-981-32-9088-4openalex-snapshot
Proceedings of 3rd International Conference on Computer Vision and Image Processing
inferredcites →https://doi.org/10.1007/978-981-32-9291-8_30openalex-snapshot
Trajectory Classification Using Feature Selection by Genetic Algorithm
inferredcites →https://doi.org/10.1007/s00521-018-3397-1openalex-snapshot
Age and gender classification using brain–computer interface
inferredcites →https://doi.org/10.1007/s00521-019-04449-6openalex-snapshot
Deep convolutional neural network designed for age assessment based on orthopantomography data
inferredcites →https://doi.org/10.1007/s00530-014-0407-8openalex-snapshot
A cross-media public sentiment analysis system for microblog
inferredcites →https://doi.org/10.1007/s10115-009-0222-2openalex-snapshot
Sentiment-oriented contextual advertising
inferredcites →https://doi.org/10.1007/s10115-015-0849-0openalex-snapshot
Cross-lingual sentiment classification with stacked autoencoders
inferredcites →https://doi.org/10.1007/s10489-013-0463-3openalex-snapshot
Sentiment analysis based on clustering: a framework in improving accuracy and recognizing neutral opinions
inferredcites →https://doi.org/10.1007/s10489-014-0609-yopenalex-snapshot
Type-2 fuzzy ontology-based opinion mining and information extraction: A proposal to automate the hotel reservation system
inferredcites →https://doi.org/10.1007/s10489-015-0700-zopenalex-snapshot
Integrated microblog sentiment analysis from users’ social interaction patterns and textual opinions
inferredcites →https://doi.org/10.1007/s10489-016-0768-0openalex-snapshot
Exploring sentiment parsing of microblogging texts for opinion polling on chinese public figures
inferredcites →https://doi.org/10.1007/s10489-017-0966-4openalex-snapshot
Successes and challenges in developing a hybrid approach to sentiment analysis
inferredcites →https://doi.org/10.1007/s10489-017-1098-6openalex-snapshot
Hybrid sentiment classification on twitter aspect-based sentiment analysis
inferredcites →https://doi.org/10.1007/s11280-015-0381-xopenalex-snapshot
Aspect term extraction for sentiment analysis in large movie reviews using Gini Index feature selection method and SVM classifier
inferredcites →https://doi.org/10.1007/s13042-018-0887-5openalex-snapshot
Kinect sensor-based interaction monitoring system using the BLSTM neural network in healthcare
inferredcites →https://doi.org/10.1016/j.displa.2018.08.001openalex-snapshot
deepGesture: Deep learning-based gesture recognition scheme using motion sensors
inferredcites →https://doi.org/10.1016/j.dss.2013.01.023openalex-snapshot
Deriving market intelligence from microblogs
inferredcites →https://doi.org/10.1016/j.inffus.2018.11.001openalex-snapshot
Fusion of EEG response and sentiment analysis of products review to predict customer satisfaction
inferredcites →https://doi.org/10.1037//0012-1649.31.4.660openalex-snapshot
Gender differences in masking negative emotions: Ability or motivation?
inferredcites →https://doi.org/10.1037/0022-3514.74.3.686openalex-snapshot
Sex differences in emotion: Expression, experience, and physiology.
inferredcites →https://doi.org/10.1093/geronb/58.4.p237openalex-snapshot
Age and Gender Differences in Adults' Descriptions of Emotional Reactions to Interpersonal Problems
inferredcites →https://doi.org/10.1093/geronb/63.2.p92openalex-snapshot
Age Differences in Descriptions of Emotional Experiences in Oneself and Others
inferredcites →https://doi.org/10.1109/5.726791openalex-snapshot
Gradient-based learning applied to document recognition
inferredcites →https://doi.org/10.1109/access.2019.2907327openalex-snapshot
Efficient Facial Expression Recognition Algorithm Based on Hierarchical Deep Neural Network Structure
inferredcites →https://doi.org/10.1109/bigdata.congress.2014.59openalex-snapshot
A Study on Sentiment Computing and Classification of Sina Weibo with Word2vec
inferredcites →https://doi.org/10.1109/icdew.2008.4498370openalex-snapshot
Using SentiWordNet for multilingual sentiment analysis
inferredcites →https://doi.org/10.1109/icivpr.2017.7890858openalex-snapshot
An overview of Multimodal Sentiment Analysis research: Opportunities and Difficulties
inferredcites →https://doi.org/10.1109/ictc46691.2019.8939843openalex-snapshot
Structure of Deep Learning Inference Engines for Embedded Systems
inferredcites →https://doi.org/10.1109/mis.2016.31openalex-snapshot
Affective Computing and Sentiment Analysis
inferredcites →https://doi.org/10.1111/0022-4537.00022openalex-snapshot
Gender and Emotion: Beyond Stereotypes
inferredcites →https://doi.org/10.1177/0013164487472023openalex-snapshot
Age and Gender Differences with the Anger Expression Scale
inferredcites →https://doi.org/10.1177/0146167291175008openalex-snapshot
Gender and Age Stereotypes of Emotionality
inferredcites →https://doi.org/10.1177/0165025413515405openalex-snapshot
Emotion regulation from early adolescence to emerging adulthood and middle adulthood
inferredcites →https://doi.org/10.1177/0971890716637702openalex-snapshot
Effect of Age and Gender on Consumer Response to Advertising Appeals
inferredcites →https://doi.org/10.1300/j149v03n01_01openalex-snapshot
Age- and Gender-Based Market Segmentation
inferredcites →https://doi.org/10.1371/journal.pone.0118432openalex-snapshot
The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets
inferredcites →https://doi.org/10.1609/icwsm.v8i1.14550openalex-snapshot
VADER: A Parsimonious Rule-Based Model for Sentiment Analysis of Social Media Text
inferredcites →https://doi.org/10.18653/v1/s15-2082openalex-snapshot
SemEval-2015 Task 12: Aspect Based Sentiment Analysis
inferredcites →https://doi.org/10.20474/jater-3.1.2openalex-snapshot
Automated age estimation based on geometric mean projection transform using Orthopantomographs
inferredcites →https://doi.org/10.3115/v1/d14-1181openalex-snapshot
Convolutional Neural Networks for Sentence Classification
inferredcites →https://doi.org/10.3115/v1/s14-2076openalex-snapshot
NRC-Canada-2014: Detecting Aspects and Sentiment in Customer Reviews
inferredcites →https://doi.org/10.5120/ijca2016908625openalex-snapshot
Sentiment Analysis of Twitter Data: A Survey of Techniques
inferredcites →https://doi.org/10.63317/47akcj8foo4dopenalex-snapshot
Twitter as a Corpus for Sentiment Analysis and Opinion Mining
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