On the public citation graph
Sentimental Analysis of Twitter Users from Turkish Content with Natural Language Processing
0 signed · 79 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known work and none has been retracted — and get a dated CiteStamped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/cpe.6883openalex-snapshot
A novel COVID ‐19 sentiment analysis in Turkish based on the combination of convolutional neural network and bidirectional long‐short term memory on Twitter
inferredcites →https://doi.org/10.1007/978-3-319-30319-2_13openalex-snapshot
An Overview of Sentiment Analysis in Social Media and Its Applications in Disaster Relief
inferredcites →https://doi.org/10.1007/978-3-642-21384-7_7openalex-snapshot
Sentiment Analysis of French Movie Reviews
inferredcites →https://doi.org/10.1007/978-981-16-8024-3_13openalex-snapshot
Analysis of Selected Twitter Headers During the Pandemic Using Big Data Method
inferredcites →https://doi.org/10.1007/s12559-017-9470-8openalex-snapshot
A Review of Sentiment Analysis Research in Chinese Language
inferredcites →https://doi.org/10.1016/j.asoc.2020.107057openalex-snapshot
Topic detection and sentiment analysis in Twitter content related to COVID-19 from Brazil and the USA
inferredcites →https://doi.org/10.1016/j.jbusres.2021.12.052openalex-snapshot
Exploring the challenges of remote work on Twitter users' sentiments: From digital technology development to a post-pandemic era
inferredcites →https://doi.org/10.1016/j.knosys.2018.01.016openalex-snapshot
Using Twitter trust network for stock market analysis
inferredcites →https://doi.org/10.1016/j.technovation.2021.102447openalex-snapshot
Exploring the boundaries of open innovation: Evidence from social media mining
inferredcites →https://doi.org/10.1017/s0140525x00005756openalex-snapshot
Minds, brains, and programs
inferredcites →https://doi.org/10.1093/mind/lix.236.433openalex-snapshot
I.—COMPUTING MACHINERY AND INTELLIGENCE
inferredcites →https://doi.org/10.1109/access.2021.3064830openalex-snapshot
A ConvBiLSTM Deep Learning Model-Based Approach for Twitter Sentiment Classification
inferredcites →https://doi.org/10.1109/access.2021.3071393openalex-snapshot
Deep Sentiment Analysis: A Case Study on Stemmed Turkish Twitter Data
inferredcites →https://doi.org/10.1109/asyu48272.2019.8946436openalex-snapshot
Sentiment Analysis in Turkish Text with Machine Learning Algorithms
inferredcites →https://doi.org/10.1109/etcs.2010.248openalex-snapshot
Study on SVM Compared with the other Text Classification Methods
inferredcites →https://doi.org/10.1109/icdew.2008.4498370openalex-snapshot
Using SentiWordNet for multilingual sentiment analysis
inferredcites →https://doi.org/10.1109/icdm.2003.1250949openalex-snapshot
Sentiment analyzer: extracting sentiments about a given topic using natural language processing techniques
inferredcites →https://doi.org/10.1109/icmlc.2011.6016866openalex-snapshot
A sentiment analysis model for hotel reviews based on supervised learning
inferredcites →https://doi.org/10.1109/icsmc.1995.538268openalex-snapshot
A natural language processor with neural networks
inferredcites →https://doi.org/10.1109/iicspi.2018.8690387openalex-snapshot
An Improved LSTM Structure for Natural Language Processing
inferredcites →https://doi.org/10.1109/siu.2015.7130362openalex-snapshot
Sentiment analysis for Turkish Twitter feeds
inferredcites →https://doi.org/10.1109/siu.2017.7960519openalex-snapshot
Sentiment analysis on microblog data based on word embedding and fusion techniques
inferredcites →https://doi.org/10.1109/siu53274.2021.9477814openalex-snapshot
Twitter Dataset and Evaluation of Transformers for Turkish Sentiment Analysis
inferredcites →https://doi.org/10.1109/tcss.2021.3051189openalex-snapshot
COVIDSenti: A Large-Scale Benchmark Twitter Data Set for COVID-19 Sentiment Analysis
inferredcites →https://doi.org/10.1109/tpami.1983.4767370openalex-snapshot
A Maximum Likelihood Approach to Continuous Speech Recognition
inferredcites →https://doi.org/10.1109/ubmk.2018.8566481openalex-snapshot
Sentiment Analysis on Turkish Social Media Shares through Lexicon Based Approach
inferredcites →https://doi.org/10.1109/ubmk.2019.8907118openalex-snapshot
Cyberbullying Detection by Using Artificial Neural Network Models
inferredcites →https://doi.org/10.1109/wi-iat.2012.115openalex-snapshot
Sentiment Analysis of Turkish Political News
inferredcites →https://doi.org/10.1145/2436256.2436274openalex-snapshot
Techniques and applications for sentiment analysis
inferredcites →https://doi.org/10.1146/annurev-linguistics-011415-040518openalex-snapshot
Sentiment Analysis: An Overview from Linguistics
inferredcites →https://doi.org/10.1155/2020/1904172openalex-snapshot
Sentiment Analysis of Shared Tweets on Global Warming on Twitter with Data Mining Methods: A Case Study on Turkish Language
inferredcites →https://doi.org/10.1177/01655515221074328openalex-snapshot
TRSAv1: A new benchmark dataset for classifying user reviews on Turkish e-commerce websites
inferredcites →https://doi.org/10.1201/9781420085938openalex-snapshot
Handbook of Natural Language Processing
inferredcites →https://doi.org/10.18421/tem74-31openalex-snapshot
Text Classification Using Word Embedding in Rule-Based Methodologies: A Systematic Mapping
inferredcites →https://doi.org/10.2196/21978openalex-snapshot
Public Perception of the COVID-19 Pandemic on Twitter: Sentiment Analysis and Topic Modeling Study
inferredcites →https://doi.org/10.30794/pausbed.994700openalex-snapshot
Analysis of Brand Perceptions of Covid-19 Vaccines with Sentiment Analysis On Social Media
inferredcites →https://doi.org/10.3390/app10114009openalex-snapshot
A Rule-Based Approach to Embedding Techniques for Text Document Classification
inferredcites →https://doi.org/10.3390/ijerph15030553openalex-snapshot
Attitudes Expressed in Online Comments about Environmental Factors in the Tourism Sector: An Exploratory Study
inferredcites →https://doi.org/10.3390/info11060314openalex-snapshot
COVID-19 Public Sentiment Insights and Machine Learning for Tweets Classification
inferredcites →https://doi.org/10.3390/su11030917openalex-snapshot
Detecting Indicators for Startup Business Success: Sentiment Analysis Using Text Data Mining
inferredcites →https://doi.org/10.4018/978-1-7998-9594-7.ch015openalex-snapshot
Sentiment Analysis and Stance Detection in Turkish Tweets About COVID-19 Vaccination
inferredcites →https://doi.org/10.7551/mitpress/5779.003.0039openalex-snapshot
A Statistical Approach to Machine Translation
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.5061012openalex-extracted
A Systematic Literature Review on Sentimental Analysis using Machine Learning for Preprocessing, Feature Extraction and Classification
inferred← citeshttps://doi.org/10.1002/9781394269969.ch16openalex-snapshot
Biomedical Research Enrichment Through Sentiment Analysis in Patient Feedback
inferred← citeshttps://doi.org/10.1007/s10579-025-09869-6openalex-snapshot
A cross-validation study of Turkish sentiment analysis datasets and tools
inferred← citeshttps://doi.org/10.1007/s10772-024-10124-6openalex-snapshot
Bengali reduplication generation with finite-state transducers (FSTs)
inferred← citeshttps://doi.org/10.1007/s13198-024-02555-wopenalex-snapshot
Machine learning and rule-based embedding techniques for classifying text documents
inferred← citeshttps://doi.org/10.1017/dmp.2022.229openalex-snapshot
Discussions About COVID-19 Vaccination on Twitter in Turkey: Sentiment Analysis
inferred← citeshttps://doi.org/10.1109/access.2023.3291592openalex-snapshot
Sentiment Analysis in Turkish Question Answering Systems: An Application of Human-Robot Interaction
inferred← citeshttps://doi.org/10.1109/access.2023.3331061openalex-snapshot
Applied Linguistics With Red-Tailed Hawk Optimizer-Based Ensemble Learning Strategy in Natural Language Processing
inferred← citeshttps://doi.org/10.1109/access.2024.3427416openalex-snapshot
Unveiling Sentiments: A Deep Dive Into Sentiment Analysis for Low-Resource Languages—A Case Study on Hausa Texts
inferred← citeshttps://doi.org/10.1109/acie61839.2024.00011openalex-snapshot
Suicide Detection in Tweets Using LSTM and Transformers
inferred← citeshttps://doi.org/10.1109/icac3n60023.2023.10541751openalex-snapshot
Approaches in Natural Language Processing
inferred← citeshttps://doi.org/10.1109/iccbi68589.2026.11619907openalex-snapshot
Comparative Evaluation of LSTM and BiLSTM for Arabic Twitter Sentiment Classification
inferred← citeshttps://doi.org/10.1109/isacc65211.2025.10969332openalex-snapshot
An enhanced LSTM-CRF based approach for Knowledge Integration based Sentiment Analysis
inferred← citeshttps://doi.org/10.1109/isemantic67418.2025.11291717openalex-snapshot
Optimizing Sentiment Prediction for TripAdvisor Hotel Reviews Using Machine Learning and Deep Learning Approach
inferred← citeshttps://doi.org/10.1109/mlnlp63328.2024.10800025openalex-snapshot
Five Years of COVID-19 Discourse on Instagram: A Labeled Instagram Dataset of Over Half a Million Posts for Multilingual Sentiment Analysis
inferred← citeshttps://doi.org/10.1109/rmkmate64874.2025.11042815openalex-snapshot
Cyberbullying Detection on Social Media using a Hybrid Machine Learning Model
inferred← citeshttps://doi.org/10.1109/ubmk63289.2024.10773485openalex-snapshot
Using LLMs for Annotation and ML Methods for Comparative Analysis of Large-Scale Turkish Sentiment Datasets
inferred← citeshttps://doi.org/10.1142/s0218348x25400158openalex-snapshot
APPLIED LINGUISTICS-DRIVEN ARTIFICIAL INTELLIGENCE APPROACH FOR SENTIMENT ANALYSIS AND CLASSIFICATION ON SOCIAL MEDIA
inferred← citeshttps://doi.org/10.1177/18758967261469257openalex-snapshot
Application-Oriented intelligent sentiment analysis: Classical vs deep models with multi-embedding strategies
inferred← citeshttps://doi.org/10.18421/tem123-56openalex-snapshot
Identifying and Analyzing Reduplication Multiword Expressions in Hindi Text Using Machine Learning
inferred← citeshttps://doi.org/10.23919/indiacom66777.2025.11115553openalex-snapshot
An Improved LSTM-CRF Based Method for Sentiment Analysis Through Knowledge Based Integration
inferred← citeshttps://doi.org/10.30605/25409190.859openalex-snapshot
Systematic Literature Review of English Journal Articles on the Use of Artificial Intelligence Applications in English Academic Writing
inferred← citeshttps://doi.org/10.32604/cmc.2025.066910openalex-snapshot
Exploring the Effectiveness of Machine Learning and Deep Learning Algorithms for Sentiment Analysis: A Systematic Literature Review
inferred← citeshttps://doi.org/10.3390/app14031078openalex-snapshot
Automated Text Annotation Using a Semi-Supervised Approach with Meta Vectorizer and Machine Learning Algorithms for Hate Speech Detection
inferred← citeshttps://doi.org/10.3390/bdcc6020058openalex-snapshot
COVID-19 Tweets Classification Based on a Hybrid Word Embedding Method
inferred← citeshttps://doi.org/10.3390/platforms2040013openalex-snapshot
Digital Social Media Influencers’ Impact on Beauty and Personal Care Purchases in South Africa
inferred← citeshttps://doi.org/10.37391/ijeer.12bdf05openalex-snapshot
Taming Misinformation: Fake Review Detection on Social Media platform using Hybrid Ensemble Technique
inferred← citeshttps://doi.org/10.37467/revtechno.v11.4396openalex-snapshot
Aprobación del presidente de Perú basado en análisis de sentimientos en Twitter
inferred← citeshttps://doi.org/10.4018/978-1-6684-7105-0.ch015openalex-snapshot
AI and Machine Learning Applications to Enhance Customer Support
inferred← citeshttps://doi.org/10.4018/979-8-3693-6303-4.ch007openalex-snapshot
An NLP Approach to Enrich Biomedical Research Through Sentiment Analysis of Patient Feedback
inferred← citeshttps://doi.org/10.4018/jdm.359335openalex-snapshot
AI and Database Management for Organizational Transformation With Insights From Twitter Data
inferred← citeshttps://doi.org/10.55071/ticaretfbd.1677269openalex-snapshot
TÜRKÇE DOĞAL DİL İŞLEME TEMELLİ ÇALIŞMALARIN TEORİK DEĞERLENDİRMESİ: YÖNTEMSEL ZORLUKLAR VE GELECEK PERSPEKTİFLERİ
inferred← citeshttps://doi.org/10.56567/pmis.v2i1.12openalex-snapshot
Analyzing the Use of Artificial Intelligence and MachineLearning in Customer Support Systems
inferred← citeshttps://doi.org/10.56726/irjmets49032openalex-snapshot
DL-BASED CNN FEATURE EXTRACTION FOR TWITTER SENTIMENT ANALYSIS
inferred← citeshttps://doi.org/10.7240/jeps.1249586openalex-snapshot
Improving the Performance of Sentiment Analysis by Ensemble Hybrid Learning Algorithm With NLP And Cascaded Feature Extraction
inferred← citeshttps://doi.org/10.7717/peerj-cs.3926openalex-snapshot
Enhanced sentiment classification of diverse Turkish texts using hierarchical gated attention and recurrent neural architectures
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.