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Comparison of Machine Learning Models for Sentiment Analysis of Big Turkish Web-Based Data

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Sentiment analysis and opinion mining: on optimal parameters and performances

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Semantic Web and Web Science

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Customer Behavior Pattern Discovering with Web Mining

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Urdu language processing: a survey

inferredcites →https://doi.org/10.1007/s10462-022-10144-1openalex-snapshot

A survey on sentiment analysis methods, applications, and challenges

inferredcites →https://doi.org/10.1007/s10844-019-00565-wopenalex-snapshot

A framework for aspect based sentiment analysis on turkish informal texts

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

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The emergence of social media data and sentiment analysis in election prediction

inferredcites →https://doi.org/10.1007/s13369-017-2855-xopenalex-snapshot

A Feature Selection Approach to Detect Spam in the Facebook Social Network

inferredcites →https://doi.org/10.1016/j.cosrev.2021.100395openalex-snapshot

Machine learning algorithms for social media analysis: A survey

inferredcites →https://doi.org/10.1016/j.dss.2015.02.011openalex-snapshot

Analyzing initial public offerings' short-term performance using decision trees and SVMs

inferredcites →https://doi.org/10.1016/j.eswa.2016.10.043openalex-snapshot

Sentiment analysis leveraging emotions and word embeddings

inferredcites →https://doi.org/10.1016/j.gltp.2021.08.059openalex-snapshot

Insights of strength and weakness of evolving methodologies of sentiment analysis

inferredcites →https://doi.org/10.1016/j.ijcce.2021.11.003openalex-snapshot

Developing Turkish sentiment analysis models using machine learning and e-commerce data

inferredcites →https://doi.org/10.1016/j.intmar.2009.10.004openalex-snapshot

Semi-Supervised Response Modeling

inferredcites →https://doi.org/10.1016/j.ipm.2013.12.002openalex-snapshot

Evaluating and understanding text-based stock price prediction models

inferredcites →https://doi.org/10.1016/j.ipm.2014.04.001openalex-snapshot

Active learning for sentiment analysis on data streams: Methodology and workflow implementation in the ClowdFlows platform

inferredcites →https://doi.org/10.1016/j.ipm.2014.09.002openalex-snapshot

Mining affective text to improve social media item recommendation

inferredcites →https://doi.org/10.1016/j.ipm.2018.06.003openalex-snapshot

Analyzing the discriminative attributes of products using text mining focused on cosmetic reviews

inferredcites →https://doi.org/10.1063/1.5005422openalex-snapshot

The effects of pre-processing strategies in sentiment analysis of online movie reviews

inferredcites →https://doi.org/10.1088/1742-6596/2037/1/012064openalex-snapshot

Comparison of Different Machine Learning Algorithms in Classification

inferredcites →https://doi.org/10.1108/el-04-2019-0093openalex-snapshot

Sentiment classification of Chinese cosmetic reviews based on integration of collocations and concepts

inferredcites →https://doi.org/10.1109/access.2019.2909919openalex-snapshot

Sentiment Analysis of Comment Texts Based on BiLSTM

inferredcites →https://doi.org/10.1109/access.2020.2997330openalex-snapshot

Light Gradient Boosting Machine for General Sentiment Classification on Short Texts: A Comparative Evaluation

inferredcites →https://doi.org/10.1109/access.2020.2997522openalex-snapshot

Framework for Sentiment-Driven Evaluation of Customer Satisfaction With Cosmetics Brands

inferredcites →https://doi.org/10.1109/ecs.2015.7124967openalex-snapshot

Extracting aspects and mining opinions in product reviews using supervised learning algorithm

inferredcites →https://doi.org/10.1109/educon.2011.5773275openalex-snapshot

Improving e-learning with sentiment analysis of users' opinions

inferredcites →https://doi.org/10.1109/ficloud.2014.100openalex-snapshot

Arabic Sentiment Analysis Using Supervised Classification

inferredcites →https://doi.org/10.1109/ic3.2014.6897213openalex-snapshot

Sentiment analysis of twitter data using machine learning approaches and semantic analysis

inferredcites →https://doi.org/10.1109/ic3.2015.7346686openalex-snapshot

Exploring sentiment analysis on twitter data

inferredcites →https://doi.org/10.1109/ic3.2017.8284327openalex-snapshot

Sentiment analysis of text using deep convolution neural networks

inferredcites →https://doi.org/10.1109/iccci.2017.8117734openalex-snapshot

Sentiment classification on big data using Naïve bayes and logistic regression

inferredcites →https://doi.org/10.1109/icenco.2018.8636119openalex-snapshot

Twitter Sentiment Analysis using Deep Neural Network

inferredcites →https://doi.org/10.1109/icicct.2018.8473049openalex-snapshot

Sentiment Analysis Using Neural Networks: A New Approach

inferredcites →https://doi.org/10.1109/icicec62498.2024.10808234openalex-snapshot

A Comparative Study of Logistic Regression, Support Vector Machines, and LSTM Networks for Sentiment Classification in Academic Reviews

inferredcites →https://doi.org/10.1109/mis.2016.31openalex-snapshot

Affective Computing and Sentiment Analysis

inferredcites →https://doi.org/10.1109/scis-isis.2014.7044857openalex-snapshot

Competitive Self-Training technique for sentiment analysis in mass social media

inferredcites →https://doi.org/10.1109/smarttechcon.2017.8358463openalex-snapshot

Every post matters: A survey on applications of sentiment analysis in social media

inferredcites →https://doi.org/10.1109/wispnet51692.2021.9419432openalex-snapshot

Detection of Sarcasm on Amazon Product Reviews using Machine Learning Algorithms under Sentiment Analysis

inferredcites →https://doi.org/10.1145/3284179.3284335openalex-snapshot

Towards the study of sentiment in the public opinion of science in Spanish

inferredcites →https://doi.org/10.1145/3372938.3372998openalex-snapshot

A comparison of features extraction methods for Arabic sentiment analysis

inferredcites →https://doi.org/10.1177/0165551514534143openalex-snapshot

A study of the effects of preprocessing strategies on sentiment analysis for Arabic text

inferredcites →https://doi.org/10.14257/ijmue.2014.9.7.28openalex-snapshot

Sentiment Analysis on News Comments Based on Supervised Learning Method

inferredcites →https://doi.org/10.14419/ijet.v7i2.24.11991openalex-snapshot

Sentiment Analysis using Logistic Regression and Effective Word Score Heuristic

inferredcites →https://doi.org/10.14445/22312803/ijctt-v48p126openalex-snapshot

Supervised Machine Learning Algorithms: Classification and Comparison

inferredcites →https://doi.org/10.1501/commua1-2_0000000105openalex-snapshot

Sentiment analysis using a random forest classifier on turkish web comments

inferredcites →https://doi.org/10.17694/bajece.419547openalex-snapshot

A Review of Turkish Sentiment Analysis and Opinion Mining

inferredcites →https://doi.org/10.20473/jisebi.10.1.167-178openalex-snapshot

Sentiment Analysis on a Large Indonesian Product Review Dataset

inferredcites →https://doi.org/10.21037/atm.2016.03.37openalex-snapshot

Introduction to machine learning: k-nearest neighbors

inferredcites →https://doi.org/10.21817/ijet/2017/v9i3/1709030151openalex-snapshot

Sentiment Analysis: Machine Learning Approach

inferredcites →https://doi.org/10.21917/ijsc.2012.0065openalex-snapshot

OPINION MINING AND SENTIMENT CLASSIFICATION: A SURVEY

inferredcites →https://doi.org/10.26483/ijarcs.v8i3.3096openalex-snapshot

A review on Machine Learning Techniques

inferredcites →https://doi.org/10.29207/resti.v5i3.3078openalex-snapshot

Multi Aspect Sentiment of Beauty Product Reviews using SVM and Semantic Similarity

inferredcites →https://doi.org/10.3115/1034678.1034694openalex-snapshot

Distributional similarity models

inferredcites →https://doi.org/10.34818/jdsa.2020.3.58openalex-snapshot

Aspect Based Sentiment Analysis on Beauty Product Review Using Random Forest

inferredcites →https://doi.org/10.4304/jait.1.1.4-20openalex-snapshot

A Review of Machine Learning Algorithms for Text-Documents Classification

inferredcites →https://doi.org/10.5120/ijca2020919981openalex-snapshot

Optimal Feature Extraction based Machine Learning Approach for Sarcasm Type Detection in News Headlines

inferredcites →https://doi.org/10.5120/ijca2020920480openalex-snapshot

A Review of Sentiment Analysis Techniques

inferredcites →https://doi.org/10.5815/ijieeb.2016.04.07openalex-snapshot

Sentiment Analysis of Review Datasets Using Naïve Bayes‘ and K-NN Classifier

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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/10.1016/j.jer.2026.08.006openalex-snapshot

An efficient late-interaction ModernBERT architecture for interpretable token-level semantic matching in Turkish

inferred← citeshttps://doi.org/10.1109/icic68054.2025.11309369openalex-snapshot

Exploring Tourist Perceptions of Pemelukatan Temples in Bali: A Sentiment Analysis Study Using Lexicon-SVM Hybrid Method

inferred← citeshttps://doi.org/10.1109/icicos68590.2025.11329722openalex-snapshot

A Hybrid Boosting Weighted ELM–Random Forest Model for Sentiment Analysis of Academic Information System Reviews

inferred← citeshttps://doi.org/10.1109/icmnwc66779.2025.11354196openalex-snapshot

Sentiment Analysis of Pension Reform Tweets: Evaluating Machine Learning Models and Preprocessing Strategies

inferred← citeshttps://doi.org/10.1109/idap68205.2025.11222169openalex-snapshot

Multi-Class Sentiment Analysis with E-Commerce User Reviews: Comparisons of Classical and Deep Learning Applications

inferred← citeshttps://doi.org/10.1109/iscipt67144.2025.11265172openalex-snapshot

Enhancing Sentiment Analysis Accuracy in Multi-Brand Cosmetic Reviews through Optimized Machine Learning Techniques

inferred← citeshttps://doi.org/10.1142/s175697372640010xopenalex-snapshot

GNN and q-ROFN Fuzzy MCDM for Sentiment-Driven Product Comparison and Selection in Multi-Vendor e-Commerce Platforms

inferred← citeshttps://doi.org/10.17482/uumfd.1779769openalex-snapshot

OPTIMIZING MACHINE LEARNING CLASSIFIERS FOR HIGH-ACCURACY SENTIMENT DETECTION IN THE TURKISH LANGUAGE

inferred← citeshttps://doi.org/10.17694/bajece.1740158openalex-snapshot

Classification by Feature Fusion: The Impact of Linguistic Features on Sentiment Analysis in Turkish Texts

inferred← citeshttps://doi.org/10.3390/jtaer21020059openalex-snapshot

Explainable Turkish E-Commerce Review Classification Using a Multi-Transformer Fusion Framework and SHAP Analysis

inferred← citeshttps://doi.org/10.34248/bsengineering.1836772openalex-snapshot

Green Sentiment Analysis in E-Commerce Reviews: A Comparative Machine Learning Approach on Turkish Consumer Feedback

inferred← citeshttps://doi.org/10.59395/ijadis.v6i3.1455openalex-snapshot

A Performance Enhancement Strategy for Sentiment Classification Models On Political Social Media Using Hyperparameter Tuning And Boosting

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