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A lightweight clustering–based approach to discover different emotional shades from social message streams
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Pattern Recognition with Fuzzy Objective Function Algorithms
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The Hourglass of Emotions
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Spatio-temporal hotspots and application on a disease analysis case via GIS
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WebGIS based on spatio-temporal hot spots: an application to oto-laryngo-pharyngeal diseases
inferredcites →https://doi.org/10.1007/s10115-018-1236-4openalex-snapshot
A survey of sentiment analysis in social media
inferredcites →https://doi.org/10.1007/s10586-017-1077-zopenalex-snapshot
Opinion mining on large scale data using sentiment analysis and k-means clustering
inferredcites →https://doi.org/10.1016/0098-3004(84)90020-7openalex-snapshot
FCM: The fuzzy c-means clustering algorithm
inferredcites →https://doi.org/10.1016/j.eswa.2011.03.071openalex-snapshot
The extended fuzzy C-means algorithm for hotspots in spatio-temporal GIS
inferredcites →https://doi.org/10.1016/j.eswa.2012.05.070openalex-snapshot
SumView: A Web-based engine for summarizing product reviews and customer opinions
inferredcites →https://doi.org/10.1016/j.ins.2017.02.016openalex-snapshot
A method for multi-class sentiment classification based on an improved one-vs-one (OVO) strategy and the support vector machine (SVM) algorithm
inferredcites →https://doi.org/10.1016/j.ins.2018.02.029openalex-snapshot
Extended Fuzzy C-Means hotspot detection method for large and very large event datasets
inferredcites →https://doi.org/10.1016/j.knosys.2013.09.024openalex-snapshot
A fuzzy-oriented sentic analysis to capture the human emotion in Web-based content
inferredcites →https://doi.org/10.1016/j.knosys.2017.05.008openalex-snapshot
Context-aware profiling of concepts from a semantic topological space
inferredcites →https://doi.org/10.1016/j.neucom.2016.05.041openalex-snapshot
ASELM: Adaptive semi-supervised ELM with application in question subjectivity identification
inferredcites →https://doi.org/10.1016/j.neucom.2017.01.079openalex-snapshot
Combine HowNet lexicon to train phrase recursive autoencoder for sentence-level sentiment analysis
inferredcites →https://doi.org/10.1109/mis.2013.30openalex-snapshot
New Avenues in Opinion Mining and Sentiment Analysis
inferredcites →https://doi.org/10.1109/mis.2016.31openalex-snapshot
Affective Computing and Sentiment Analysis
inferredcites →https://doi.org/10.1109/tfuzz.2002.805901openalex-snapshot
Fuzzy clustering with volume prototypes and adaptive cluster merging
inferredcites →https://doi.org/10.1109/tfuzz.2012.2201485openalex-snapshot
Fuzzy c-Means Algorithms for Very Large Data
inferredcites →https://doi.org/10.1145/1361684.1361685openalex-snapshot
Sentiment analysis in multiple languages
inferredcites →https://doi.org/10.1155/2013/876073openalex-snapshot
Hotspots Detection in Spatial Analysis via the Extended Gustafson-Kessel Algorithm
inferredcites →https://doi.org/10.1371/journal.pone.0085884openalex-snapshot
Comparison of K-Means and Fuzzy c-Means Algorithm Performance for Automated Determination of the Arterial Input Function
inferredcites →https://doi.org/10.14569/ijacsa.2013.040406openalex-snapshot
Comparative Analysis of K-Means and Fuzzy C-Means Algorithms
inferredcites →https://doi.org/10.2200/s00416ed1v01y201204hlt016openalex-snapshot
Sentiment Analysis and Opinion Mining
inferredcites →https://doi.org/10.3923/itj.2011.478.484openalex-snapshot
A Survey of Partition based Clustering Algorithms in Data Mining: An Experimental Approach
inferredcites →https://doi.org/10.5121/ijdkp.2014.4502openalex-snapshot
Experiments on Hypothesis "Fuzzy K-Means is Better than K-Means for Clustering"
inferredcites →https://doi.org/10.63317/54vo5wjya4cwopenalex-snapshot
SENTIWORDNET: A Publicly Available Lexical Resource for Opinion Mining
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Kernel‐based low‐rank tensorized multiview spectral clustering
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Learning to disentangle emotion factors for facial expression recognition in the wild
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Improving the emotion‐based classification by exploiting the fuzzy entropy in FCM clustering
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A fuzzy data augmentation technique to improve regularisation
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Semi-supervised Feature Selection Method for Fuzzy Clustering of Emotional States from Social Streams Messages
inferred← citeshttps://doi.org/10.1007/978-3-030-94551-0_3openalex-snapshot
Research on Intelligent Retrieval Model of Multilingual Text Information in Corpus
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Fuzzy Emotion Detection Method to Identify Heatwave Hot and Cold Spots in Urban Settlements
inferred← citeshttps://doi.org/10.1007/s10489-021-02683-xopenalex-snapshot
Modeling semantic and emotional relationship in multi-turn emotional conversations using multi-task learning
inferred← citeshttps://doi.org/10.1007/s12065-021-00603-zopenalex-snapshot
GIS-based fuzzy sentiment analysis framework to classify urban elements according to the orientations of citizens and tourists expressed in social networks
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Robust copy-move forgery detection using modified superpixel based FCM clustering with emperor penguin optimization and block feature matching
inferred← citeshttps://doi.org/10.1016/b978-0-323-91776-6.00010-5openalex-snapshot
Emotion-based classification through fuzzy entropy-enhanced FCM clustering
inferred← citeshttps://doi.org/10.1016/j.asoc.2020.106854openalex-snapshot
Balancing the user-driven feature selection and their incidence in the clustering structure formation
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Performance analysis and prediction of asymmetric two-level priority polling system based on BP neural network
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A fuzzy partition-based method to classify social messages assessing their emotional relevance
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Fuzzy logic applied to opinion mining: A review
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The Roles of Stakeholders in Internet of Things: A Theoretical Framework
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Short Term Traffic Flow Prediction Method based on Fuzzy Clustering Algorithm
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Forecasting the Market with Machine Learning Algorithms: An Application of NMC-BERT-LSTM-DQN-X Algorithm in Quantitative Trading
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Dynamic Early-Warning Model of College Students’ Psychological Crisis Based on Characteristic Attribute
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RETRACTED: The low-carbon significance of COOA-RBFNN prediction ability in green buildings: rapid detection of concrete microcracks
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A Fuzzy-Based Emotion Detection Method to Classify the Relevance of Pleasant/Unpleasant Emotions Posted by Users in Reviews of Service Facilities
inferred← citeshttps://doi.org/10.3390/fi15010023openalex-snapshot
A GIS-Based Hot and Cold Spots Detection Method by Extracting Emotions from Social Streams
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A GIS-Based Fuzzy Multiclassification Framework Applied for Spatiotemporal Analysis of Phenomena in Urban Contexts
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