On the public citation graph
A Survey and Comparative Study of Tweet Sentiment Analysis via Semi-Supervised Learning
0 signed · 178 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known work and none has been retracted — and get a dated CiteStamped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/10.1002/asi.23111openalex-snapshot
Exploring C o‐training strategies for opinion detection
inferredcites →https://doi.org/10.1002/widm.1171openalex-snapshot
Deep learning for sentiment analysis: successful approaches and future challenges
inferredcites →https://doi.org/10.1007/3-540-44795-4_42openalex-snapshot
Mining the Web for Synonyms: PMI-IR versus LSA on TOEFL
inferredcites →https://doi.org/10.1007/978-1-4899-7687-1_907openalex-snapshot
Sentiment Analysis and Opinion Mining
inferredcites →https://doi.org/10.1007/978-3-031-01548-9openalex-snapshot
Introduction to Semi-Supervised Learning
inferredcites →https://doi.org/10.1007/978-3-319-03524-6_12openalex-snapshot
Enhance User-Level Sentiment Analysis on Microblogs with Approval Relations
inferredcites →https://doi.org/10.1007/978-3-642-16184-1_1openalex-snapshot
Sentiment Knowledge Discovery in Twitter Streaming Data
inferredcites →https://doi.org/10.1007/978-3-642-24477-3_7openalex-snapshot
MOA-TweetReader: Real-Time Analysis in Twitter Streaming Data
inferredcites →https://doi.org/10.1007/978-3-642-35176-1_32openalex-snapshot
Semantic Sentiment Analysis of Twitter
inferredcites →https://doi.org/10.1007/978-3-642-37256-8_11openalex-snapshot
Distant Supervision for Emotion Classification with Discrete Binary Values
inferredcites →https://doi.org/10.1007/s10618-011-0238-6openalex-snapshot
Survey on mining subjective data on the web
inferredcites →https://doi.org/10.1007/s10796-010-9273-xopenalex-snapshot
A microblogging-based approach to terrorism informatics: Exploration and chronicling civilian sentiment and response to terrorism events via Twitter
inferredcites →https://doi.org/10.1007/s10994-013-5327-xopenalex-snapshot
Adaptive regularization of weight vectors
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.dss.2012.05.022openalex-snapshot
Subjectivity and sentiment analysis: An overview of the current state of the area and envisaged developments
inferredcites →https://doi.org/10.1016/j.dss.2014.07.003openalex-snapshot
Tweet sentiment analysis with classifier ensembles
inferredcites →https://doi.org/10.1016/j.eswa.2010.02.109openalex-snapshot
DASA: Dissatisfaction-oriented Advertising based on Sentiment Analysis
inferredcites →https://doi.org/10.1016/j.eswa.2015.05.003openalex-snapshot
Event stream processing for improved situational awareness in the smart grid
inferredcites →https://doi.org/10.1016/j.ins.2016.02.002openalex-snapshot
Using unsupervised information to improve semi-supervised tweet sentiment classification
inferredcites →https://doi.org/10.1016/j.ipm.2015.01.005openalex-snapshot
Contextual semantics for sentiment analysis of Twitter
inferredcites →https://doi.org/10.1108/ir.1999.04926fae.001openalex-snapshot
Lecture Notes in Computer Science 1205
inferredcites →https://doi.org/10.1109/icdm.2008.113openalex-snapshot
Document-Word Co-regularization for Semi-supervised Sentiment Analysis
inferredcites →https://doi.org/10.1109/icdm.2008.152openalex-snapshot
A Practical Approach to Classify Evolving Data Streams: Training with Limited Amount of Labeled Data
inferredcites →https://doi.org/10.1109/socialcom-passat.2012.119openalex-snapshot
Harnessing Twitter "Big Data" for Automatic Emotion Identification
inferredcites →https://doi.org/10.1109/socialcom.2013.56openalex-snapshot
Twitter Sentiment Analysis: A Bootstrap Ensemble Framework
inferredcites →https://doi.org/10.1109/thms.2013.2285047openalex-snapshot
SentiView: Sentiment Analysis and Visualization for Internet Popular Topics
inferredcites →https://doi.org/10.1109/tit.1965.1053799openalex-snapshot
Probability of error of some adaptive pattern-recognition machines
inferredcites →https://doi.org/10.1137/1.9781611972801.26openalex-snapshot
Bridging Domains with Words: Opinion Analysis with Matrix Tri-factorizations
inferredcites →https://doi.org/10.1142/9789813223615_0028openalex-snapshot
Tracking Sentiment and Topic Dynamics from Social Media
inferredcites →https://doi.org/10.1145/1014052.1014073openalex-snapshot
Mining and summarizing customer reviews
inferredcites →https://doi.org/10.1145/1651461.1651470openalex-snapshot
Weakly supervised techniques for domain-independent sentiment classification
inferredcites →https://doi.org/10.1145/1651461.1651471openalex-snapshot
Clues for detecting irony in user-generated contents
inferredcites →https://doi.org/10.1145/1706591.1706599openalex-snapshot
A discriminative model for semi-supervised learning
inferredcites →https://doi.org/10.1145/1753326.1753504openalex-snapshot
Characterizing debate performance via aggregated twitter sentiment
inferredcites →https://doi.org/10.1145/1772690.1772761openalex-snapshot
Exploiting social context for review quality prediction
inferredcites →https://doi.org/10.1145/1935826.1935932openalex-snapshot
Aspect and sentiment unification model for online review analysis
inferredcites →https://doi.org/10.1145/2020408.2020614openalex-snapshot
User-level sentiment analysis incorporating social networks
inferredcites →https://doi.org/10.1145/2213836.2213958openalex-snapshot
Large-scale machine learning at twitter
inferredcites →https://doi.org/10.1145/2380718.2380744openalex-snapshot
Political speech in social media streams
inferredcites →https://doi.org/10.1145/2433396.2433465openalex-snapshot
Exploiting social relations for sentiment analysis in microblogging
inferredcites →https://doi.org/10.1145/2436256.2436274openalex-snapshot
Techniques and applications for sentiment analysis
inferredcites →https://doi.org/10.1145/2487788.2487836openalex-snapshot
Co-training and visualizing sentiment evolvement for tweet events
inferredcites →https://doi.org/10.1145/2487788.2488012openalex-snapshot
Some clues on irony detection in tweets
inferredcites →https://doi.org/10.1145/2492517.2500286openalex-snapshot
Discovering hot topics using Twitter streaming data
inferredcites →https://doi.org/10.1145/2505515.2505569openalex-snapshot
Adaptive co-training SVM for sentiment classification on tweets
inferredcites →https://doi.org/10.1145/2537734openalex-snapshot
Proceedings of the 18th Australasian Document Computing Symposium
inferredcites →https://doi.org/10.1145/2554850.2555048openalex-snapshot
Pathways for irony detection in tweets
inferredcites →https://doi.org/10.1145/2600428.2609612openalex-snapshot
Economically-efficient sentiment stream analysis
inferredcites →https://doi.org/10.1145/2766462.2767830openalex-snapshot
Twitter Sentiment Analysis with Deep Convolutional Neural Networks
inferredcites →https://doi.org/10.1145/279943.279962openalex-snapshot
Combining labeled and unlabeled data with co-training
inferredcites →https://doi.org/10.1145/505282.505283openalex-snapshot
Machine learning in automated text categorization
inferredcites →https://doi.org/10.1146/annurev.soc.27.1.415openalex-snapshot
Birds of a Feather: Homophily in Social Networks
inferredcites →https://doi.org/10.1162/coli_a_00049openalex-snapshot
Lexicon-Based Methods for Sentiment Analysis
inferredcites →https://doi.org/10.1184/r1/6473408openalex-snapshot
Improved Part-of-Speech Tagging for Online Conversational Text with Word Clusters
inferredcites →https://doi.org/10.13140/2.1.3604.7043openalex-snapshot
Exploiting Topic based Twitter Sentiment for Stock Prediction
inferredcites →https://doi.org/10.1587/transinf.e97.d.790openalex-snapshot
Sentiment Classification in Under-Resourced Languages Using Graph-Based Semi-Supervised Learning Methods
inferredcites →https://doi.org/10.1613/jair.105openalex-snapshot
Solving Multiclass Learning Problems via Error-Correcting Output Codes
inferredcites →https://doi.org/10.18653/v1/s16-1001openalex-snapshot
SemEval-2016 Task 4: Sentiment Analysis in Twitter
inferredcites →https://doi.org/10.2139/ssrn.2631910openalex-snapshot
A New Principal-Component Approach to Measure the Investor Sentiment
inferredcites →https://doi.org/10.2200/s00416ed1v01y201204hlt016openalex-snapshot
Sentiment Analysis and Opinion Mining
inferredcites →https://doi.org/10.3115/1220355.1220555openalex-snapshot
Determining the sentiment of opinions
inferredcites →https://doi.org/10.3115/1654758.1654769openalex-snapshot
Seeing stars when there aren't many stars
inferredcites →https://doi.org/10.3115/1687878.1687913openalex-snapshot
Co-training for cross-lingual sentiment classification
inferredcites →https://doi.org/10.3115/1690219.1690244openalex-snapshot
Mine the easy, classify the hard
inferredcites →https://doi.org/10.3115/1708124.1708137openalex-snapshot
Ranking and semi-supervised classification on large scale graphs using map-reduce
inferredcites →https://doi.org/10.3115/v1/p14-1146openalex-snapshot
Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification
inferredcites →https://doi.org/10.3115/v1/p14-2071openalex-snapshot
Improving Twitter Sentiment Analysis with Topic-Based Mixture Modeling and Semi-Supervised Training
inferredcites →https://doi.org/10.3115/v1/s14-2009openalex-snapshot
SemEval-2014 Task 9: Sentiment Analysis in Twitter
inferredcites →https://doi.org/10.3115/v1/s14-2017openalex-snapshot
Biocom Usp: Tweet Sentiment Analysis with Adaptive Boosting Ensemble
inferredcites →https://doi.org/10.3115/v1/s14-2033openalex-snapshot
Coooolll: A Deep Learning System for Twitter Sentiment Classification
inferredcites →https://doi.org/10.3115/v1/s14-2042openalex-snapshot
ECNU: Expression- and Message-level Sentiment Orientation Classification in Twitter Using Multiple Effective Features
inferredcites →https://doi.org/10.3115/v1/s14-2077openalex-snapshot
NRC-Canada-2014: Recent Improvements in the Sentiment Analysis of Tweets
inferredcites →https://doi.org/10.3115/v1/s14-2111openalex-snapshot
TeamX: A Sentiment Analyzer with Enhanced Lexicon Mapping and Weighting Scheme for Unbalanced Data
inferredcites →https://doi.org/10.3233/ica-150485openalex-snapshot
Using metaheuristics to optimize the combination of classifier and cluster ensembles
inferredcites →https://doi.org/10.48550/arxiv.1209.6329openalex-snapshot
More Is Better: Large Scale Partially-supervised Sentiment Classification - Appendix
inferredcites →https://doi.org/10.48550/arxiv.1512.01043openalex-snapshot
Approaches for Sentiment Analysis on Twitter: A State-of-Art study
inferredcites →https://doi.org/10.5120/ijca2016911545openalex-snapshot
Sentiment Analysis and Opinion Mining: A Survey
inferredcites →https://doi.org/10.5210/fm.v15i4.2897openalex-snapshot
Emotion homophily in social network site messages
inferredcites →https://doi.org/10.7551/mitpress/1130.001.0001openalex-snapshot
Advances in Kernel Methods
inferredcites →https://doi.org/10.7551/mitpress/9780262033589.001.0001openalex-snapshot
Semi-Supervised Learning
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/asi.24800openalex-snapshot
Aspect sentiment mining of short bullet screen comments from online TV series
inferred← citeshttps://doi.org/10.1002/itl2.239openalex-snapshot
Semi‐supervised learning induced abnormal emotional tendency analysis in British culture
inferred← citeshttps://doi.org/10.1007/978-3-030-01129-1_10openalex-snapshot
Fake News as We Feel It: Perception and Conceptualization of the Term “Fake News” in the Media
inferred← citeshttps://doi.org/10.1007/978-3-030-03928-8_38openalex-snapshot
Feature Selection Using Sampling with Replacement, Covering Arrays and Rule-Induction Techniques to Aid Polarity Detection in Twitter Sentiment Analysis
inferred← citeshttps://doi.org/10.1007/978-3-319-69341-5_24openalex-snapshot
A Brief Review on the Use of Sentiment Analysis Approaches in Social Networks
inferred← citeshttps://doi.org/10.1007/978-3-319-99722-3_39openalex-snapshot
Semi-supervised Sentiment Annotation of Large Corpora
inferred← citeshttps://doi.org/10.1007/978-981-16-3398-0_12openalex-snapshot
Introduction to Sentiment Analysis Covering Basics, Tools, Evaluation Metrics, Challenges, and Applications
inferred← citeshttps://doi.org/10.1007/978-981-33-6081-5_28openalex-snapshot
Sentiment Analysis Using Semi Supervised Machine Learning Technique
inferred← citeshttps://doi.org/10.1007/s00778-019-00569-6openalex-snapshot
Microblogs data management: a survey
inferred← citeshttps://doi.org/10.1007/s10115-019-01392-9openalex-snapshot
Sentiment analysis on big sparse data streams with limited labels
inferred← citeshttps://doi.org/10.1007/s10462-021-09973-3openalex-snapshot
Systematic reviews in sentiment analysis: a tertiary study
inferred← citeshttps://doi.org/10.1007/s10462-023-10579-0openalex-snapshot
A systematic review for class-imbalance in semi-supervised learning
inferred← citeshttps://doi.org/10.1007/s10723-019-09482-2openalex-snapshot
What’s Happening Around the World? A Survey and Framework on Event Detection Techniques on Twitter
inferred← citeshttps://doi.org/10.1007/s10844-020-00616-7openalex-snapshot
Empirical study of sentiment analysis tools and techniques on societal topics
inferred← citeshttps://doi.org/10.1007/s11042-018-6445-zopenalex-snapshot
A survey on sentiment analysis and opinion mining for social multimedia
inferred← citeshttps://doi.org/10.1007/s11063-020-10191-1openalex-snapshot
A Safe Semi-supervised Classification Algorithm Using Multiple Classifiers Ensemble
inferred← citeshttps://doi.org/10.1007/s42979-023-01886-yopenalex-snapshot
A Comparison of Commercial Sentiment Analysis Services
inferred← citeshttps://doi.org/10.1007/s42979-024-03139-yopenalex-snapshot
A Hybrid Machine Learning and Metaheuristic Based Model for E-Business Risk Management
inferred← citeshttps://doi.org/10.1016/j.asoc.2020.107023openalex-snapshot
Analyzing the effectiveness of semi-supervised learning approaches for opinion spam classification
inferred← citeshttps://doi.org/10.1016/j.eswa.2018.04.006openalex-snapshot
A domain transferable lexicon set for Twitter sentiment analysis using a supervised machine learning approach
inferred← citeshttps://doi.org/10.1016/j.iot.2023.100720openalex-snapshot
A survey on event detection approaches for sensor based IoT
inferred← citeshttps://doi.org/10.1016/j.ipm.2018.05.008openalex-snapshot
Tracking and recognizing emotions in short text messages from online chatting services
inferred← citeshttps://doi.org/10.1016/j.ipm.2019.102055openalex-snapshot
The evolution of argumentation mining: From models to social media and emerging tools
inferred← citeshttps://doi.org/10.1016/j.is.2023.102178openalex-snapshot
Semi-supervised and un-supervised clustering: A review and experimental evaluation
inferred← citeshttps://doi.org/10.1016/j.knosys.2018.06.019openalex-snapshot
Imbalanced text sentiment classification using universal and domain-specific knowledge
inferred← citeshttps://doi.org/10.1016/j.knosys.2018.12.017openalex-snapshot
Unsupervised word-level affect analysis and propagation in a lexical knowledge graph
inferred← citeshttps://doi.org/10.1016/j.knosys.2020.106509openalex-snapshot
Aspect-level sentiment analysis based on gradual machine learning
inferred← citeshttps://doi.org/10.1016/j.knosys.2021.107134openalex-snapshot
A comprehensive survey on sentiment analysis: Approaches, challenges and trends
inferred← citeshttps://doi.org/10.1016/j.neucom.2023.02.015openalex-snapshot
Machine learning and deep learning for sentiment analysis across languages: A survey
inferred← citeshttps://doi.org/10.1016/j.scs.2019.101578openalex-snapshot
Linking social, semantic and sentiment analyses to support modeling transit customers’ satisfaction: Towards formal study of opinion dynamics
inferred← citeshttps://doi.org/10.1063/5.0163863openalex-snapshot
Sentiment analysis system using conventional neural network in social media
inferred← citeshttps://doi.org/10.1080/0144929x.2021.1877356openalex-snapshot
Machine learning in emotional intelligence studies: a survey
inferred← citeshttps://doi.org/10.1109/access.2020.3030642openalex-snapshot
GAWA–A Feature Selection Method for Hybrid Sentiment Classification
inferred← citeshttps://doi.org/10.1109/access.2022.3209662openalex-snapshot
HyVADRF: Hybrid VADER–Random Forest and GWO for Bitcoin Tweet Sentiment Analysis
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/compsac57700.2023.00064openalex-snapshot
Machine Learning Based Method for Auditing Personnel Expenses in Public Expenditure
inferred← citeshttps://doi.org/10.1109/i2c2.2017.8321803openalex-snapshot
Personalized language-independent music recommendation system
inferred← citeshttps://doi.org/10.1109/icadeis52521.2021.9701938openalex-snapshot
Real-time global sentiment analysis system with custom augmentation of market intelligence
inferred← citeshttps://doi.org/10.1109/icaicta.2017.8090966openalex-snapshot
Tweet polarity classification focused on positive and negative term frequency ratio
inferred← citeshttps://doi.org/10.1109/icaiit.2019.8834552openalex-snapshot
A Review of Sentiment Analysis for Non-English Language
inferred← citeshttps://doi.org/10.1109/iccc.2019.00008openalex-snapshot
Difficulties and Improvements to Graph-Based Lexical Sentiment Analysis Using LISA
inferred← citeshttps://doi.org/10.1109/iccia62557.2024.10719196openalex-snapshot
Label Distribution Representation Learning in Document-Level Sentiment Analysis
inferred← citeshttps://doi.org/10.1109/iccoins49721.2021.9497233openalex-snapshot
A Review Towards Deep Learning for Sentiment Analysis
inferred← citeshttps://doi.org/10.1109/icdm54844.2022.00065openalex-snapshot
GraphBERT: Bridging Graph and Text for Malicious Behavior Detection on Social Media
inferred← citeshttps://doi.org/10.1109/icodsa53588.2021.9617501openalex-snapshot
Predicting Big Five Personality Traits Based on Twitter User U sing Random Forest Method
inferred← citeshttps://doi.org/10.1109/iesys.2017.8233560openalex-snapshot
Sentiment analysis on medical text using combination of machine learning and SO-CAL scoring
inferred← citeshttps://doi.org/10.1109/indiacom51348.2021.00145openalex-snapshot
Topic Modelling Twitterati Sentiments using Latent Dirichlet Allocation during Demonetization
inferred← citeshttps://doi.org/10.1109/inista49547.2020.9194656openalex-snapshot
Speeding up the SUCCESS Approach for Massive Industrial Datasets
inferred← citeshttps://doi.org/10.1109/iscaie.2019.8743799openalex-snapshot
The Essential of Sentiment Analysis and Opinion Mining in Social Media : Introduction and Survey of the Recent Approaches and Techniques
inferred← citeshttps://doi.org/10.1109/smc.2018.00041openalex-snapshot
Classifying Sightseeing Tweets Using Convolutional Neural Networks with Multi-channel Distributed Representation
inferred← citeshttps://doi.org/10.1109/tcss.2023.3322002openalex-snapshot
A Review of Deep Learning Models for Twitter Sentiment Analysis: Challenges and Opportunities
inferred← citeshttps://doi.org/10.1109/tencon.2017.8228265openalex-snapshot
Towards the development of typhoon-related tweet classifiers despite the sparseness of strongly-annotated data
inferred← citeshttps://doi.org/10.1109/tits.2022.3155175openalex-snapshot
AICP: Augmented Informative Cooperative Perception
inferred← citeshttps://doi.org/10.1145/3084226.3084285openalex-snapshot
Preliminary Study on Applying Semi-Supervised Learning to App Store Analysis
inferred← citeshttps://doi.org/10.1145/3097983.3098159openalex-snapshot
Large Scale Sentiment Learning with Limited Labels
inferred← citeshttps://doi.org/10.1155/2018/6531203openalex-snapshot
On the Impact of Labeled Sample Selection in Semisupervised Learning for Complex Visual Recognition Tasks
inferred← citeshttps://doi.org/10.1155/2024/9652424openalex-snapshot
Classification and Comparative Evaluation of Text and Emoji‐Based Tweets With Deep Neural Network Models
inferred← citeshttps://doi.org/10.11606/d.55.2018.tde-26102018-123022openalex-snapshot
Expansão de recursos para análise de sentimentos usando aprendizado semi-supervisionado
inferred← citeshttps://doi.org/10.11606/t.55.2016.tde-27092016-143947openalex-snapshot
Análise de sentimentos em textos curtos provenientes de redes sociais
inferred← citeshttps://doi.org/10.1177/0165551519828627openalex-snapshot
Twitter sentiment analysis using fuzzy integral classifier fusion
inferred← citeshttps://doi.org/10.1177/10778012221083334openalex-snapshot
Transmuting Girls Into Women: Examining the Adultification of Black Female Sexual Assault Survivors Through Twitter Feedback
inferred← citeshttps://doi.org/10.1186/s13174-018-0089-0openalex-snapshot
Using sentiment analysis to define twitter political users’ classes and their homophily during the 2016 American presidential election
inferred← citeshttps://doi.org/10.12694/scpe.v24i4.2471openalex-snapshot
A Statistical Analysis of Sentiment over Different Social Platforms on Drug Usage across High, Middle and Low-Income Countries
inferred← citeshttps://doi.org/10.14569/ijacsa.2019.0100815openalex-snapshot
Twitter Sentiment Analysis in Under-Resourced Languages using Byte-Level Recurrent Neural Model
inferred← citeshttps://doi.org/10.18653/v1/2023.emnlp-main.380openalex-snapshot
SentiStream: A Co-Training Framework for Adaptive Online Sentiment Analysis in Evolving Data Streams
inferred← citeshttps://doi.org/10.18653/v1/s18-1022openalex-snapshot
KDE-AFFECT at SemEval-2018 Task 1: Estimation of Affects in Tweet by Using Convolutional Neural Network for n-gram
inferred← citeshttps://doi.org/10.21437/interspeech.2020-2641openalex-snapshot
An Investigation of Cross-Cultural Semi-Supervised Learning for Continuous Affect Recognition
inferred← citeshttps://doi.org/10.22075/ijnaa.2021.23334.2522openalex-snapshot
A hybrid semi-supervised boosting to sentiment analysis
inferred← citeshttps://doi.org/10.22190/fume230901038kopenalex-snapshot
A HYBRID DEEP LEARNING APPROACH FOR SENTIMENT ANALYSIS IN PRODUCT REVIEWS
inferred← citeshttps://doi.org/10.29252/jsdp.15.2.89openalex-snapshot
A Semi-supervised Framework Based on Self-constructed Adaptive Lexicon for Persian Sentiment Analysis
inferred← citeshttps://doi.org/10.3233/web-180389openalex-snapshot
Transferring sentiment knowledge between words and tweets
inferred← citeshttps://doi.org/10.3390/bdcc3030037openalex-snapshot
Cooking Is Creating Emotion: A Study on Hinglish Sentiments of Youtube Cookery Channels Using Semi-Supervised Approach
inferred← citeshttps://doi.org/10.3390/make1010030openalex-snapshot
Gender Recognition by Voice Using an Improved Self-Labeled Algorithm
inferred← citeshttps://doi.org/10.33965/ict_csc_wbc_2020_202008l022openalex-snapshot
EMOTION ANALYSIS USING SELF-TRAINING ON MALAYSIAN CODE-MIXED TWITTER DATA
inferred← citeshttps://doi.org/10.35537/10915/152375openalex-snapshot
Clasificación automática de correos electrónicos
inferred← citeshttps://doi.org/10.3991/ijim.v16i24.35493openalex-snapshot
Machine Learning for Feeling Analysis in Twitter Communications: A Case Study in HEYDRU!, Perú
inferred← citeshttps://doi.org/10.4018/978-1-6684-6303-1.ch073openalex-snapshot
Assessing Public Opinions of Products Through Sentiment Analysis
inferred← citeshttps://doi.org/10.4018/978-1-7998-8318-0.ch019openalex-snapshot
Fake News Polarization for Sentiment Analysis
inferred← citeshttps://doi.org/10.4018/joeuc.20210701.oa6openalex-snapshot
Assessing Public Opinions of Products Through Sentiment Analysis
inferred← citeshttps://doi.org/10.4028/p-8fy5caopenalex-snapshot
Sentiment Analysis of National Eligibility-Cum Entrance Test on Twitter Data Using Machine Learning Techniques
inferred← citeshttps://doi.org/10.48550/arxiv.1805.12033openalex-snapshot
PIQUE: Progressive Integrated QUery Operator with Pay-As-You-Go Enrichment
inferred← citeshttps://doi.org/10.51537/chaos.1857261openalex-snapshot
Self-Training the Neurochaos Learning Algorithm
inferred← citeshttps://doi.org/10.5715/jnlp.30.586openalex-snapshot
Evaluation of Citizen Opinion Extraction Across Cities
inferred← citeshttps://doi.org/10.59167/tujnas.v8i1.1487openalex-snapshot
Hybrid Filter-Genetic Feature Selection Method For Arabic Sentiment Analysis
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.