On the public citation graph
Opinion Classification using Pattern Mining and Fuzzy Logic
0 signed · 39 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/3-540-49257-7_25openalex-snapshot
Discovering Frequent Closed Itemsets for Association Rules
inferredcites →https://doi.org/10.1007/s10791-010-9154-4openalex-snapshot
A pattern mining approach for information filtering systems
inferredcites →https://doi.org/10.1016/j.asej.2014.04.011openalex-snapshot
Sentiment analysis algorithms and applications: A survey
inferredcites →https://doi.org/10.1016/j.eswa.2011.05.070openalex-snapshot
Experiments with SVM to classify opinions in different domains
inferredcites →https://doi.org/10.1016/j.eswa.2012.07.059openalex-snapshot
Document-level sentiment classification: An empirical comparison between SVM and ANN
inferredcites →https://doi.org/10.1016/j.knosys.2012.10.005openalex-snapshot
A fuzzy conceptualization model for text mining with application in opinion polarity classification
inferredcites →https://doi.org/10.1016/j.proeng.2013.02.059openalex-snapshot
Opinion Mining of Movie Review using Hybrid Method of Support Vector Machine and Particle Swarm Optimization
inferredcites →https://doi.org/10.1109/iccis.2004.1460480openalex-snapshot
A fuzzy FCA-based approach for citation-based document retrieval
inferredcites →https://doi.org/10.1109/icde.2001.914830openalex-snapshot
PrefixSpan,: mining sequential patterns efficiently by prefix-projected pattern growth
inferredcites →https://doi.org/10.1109/icdm.2002.1183905openalex-snapshot
Mining top-k frequent closed patterns without minimum support
inferredcites →https://doi.org/10.1109/tkde.2010.211openalex-snapshot
Effective Pattern Discovery for Text Mining
inferredcites →https://doi.org/10.1109/tkde.2014.2373357openalex-snapshot
Relevance Feature Discovery for Text Mining
inferredcites →https://doi.org/10.1109/tkde.2014.2384497openalex-snapshot
Pattern-based Topics for Document Modelling in Information Filtering
inferredcites →https://doi.org/10.1109/tkde.2017.2681671openalex-snapshot
Enhancing Binary Classification by Modeling Uncertain Boundary in Three-Way Decisions
inferredcites →https://doi.org/10.1109/ucc.2014.105openalex-snapshot
A Fuzzy Logic Approach for Opinion Mining on Large Scale Twitter Data
inferredcites →https://doi.org/10.1142/9789814335799_0018openalex-snapshot
Fuzzy Sets and Fuzzy Logic
inferredcites →https://doi.org/10.1145/1014052.1014073openalex-snapshot
Mining and summarizing customer reviews
inferredcites →https://doi.org/10.1145/276304.276313openalex-snapshot
Efficiently mining long patterns from databases
inferredcites →https://doi.org/10.1145/276305.276313openalex-snapshot
Efficiently mining long patterns from databases
inferredcites →https://doi.org/10.1155/2014/735942openalex-snapshot
Opinion Mining from Online User Reviews Using Fuzzy Linguistic Hedges
inferredcites →https://doi.org/10.1155/2016/6965725openalex-snapshot
Fuzzy Aspect Based Opinion Classification System for Mining Tourist Reviews
inferredcites →https://doi.org/10.1201/9781420085938openalex-snapshot
Handbook of Natural Language Processing
inferredcites →https://doi.org/10.3115/976909.979640openalex-snapshot
Predicting the semantic orientation of adjectives
inferredcites →https://doi.org/10.3115/979617.979640openalex-snapshot
Predicting the semantic orientation of adjectives
inferredcites →https://doi.org/10.48550/arxiv.cs/0212032openalex-snapshot
Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews
inferredcites →https://doi.org/10.5120/ijca2016910921openalex-snapshot
Sentiment Analysis using Support Vector Machine based on Feature Selection and Semantic Analysis
inferredcites →https://doi.org/10.5121/ijcseit.2014.4104openalex-snapshot
Sentiment Analysis by Using Fuzzy Logic
inferredcites →https://doi.org/10.5121/ijit.2014.3302openalex-snapshot
Opinion Mining of Movie Reviews At Document Level
inferredcites →https://doi.org/10.5860/choice.49-2718openalex-snapshot
Web data mining: exploring hyperlinks, contents, and usage data
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4676404openalex-extracted
Deep Representation Learning of User Preferences for Opinionclassification
inferred← citeshttps://doi.org/10.1007/978-981-96-6591-4_14openalex-snapshot
Refined Sentiment Analysis Using POS Features and LDA: Mitigating Polysemy and Sparsity with BERT Contextual Embedding
inferred← citeshttps://doi.org/10.1007/s10462-021-09955-5openalex-snapshot
Mining and classifying customer reviews: a survey
inferred← citeshttps://doi.org/10.1109/access.2023.3268165openalex-snapshot
Review of Survey Research in Fuzzy Approach for Text Mining
inferred← citeshttps://doi.org/10.1109/icdmw51313.2020.00019openalex-snapshot
Integration of Fuzzy and Deep Learning in Three-Way Decisions
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.