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Public Perception of ChatGPT and Transfer Learning for Tweets Sentiment Analysis Using Wolfram Mathematica
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/asi.21662openalex-snapshot
Sentiment strength detection for the social web
inferredcites →https://doi.org/10.1002/widm.1333openalex-snapshot
Sentiment analysis for mining texts and social networks data: Methods and tools
inferredcites →https://doi.org/10.1007/978-3-642-35176-1_32openalex-snapshot
Semantic Sentiment Analysis of Twitter
inferredcites →https://doi.org/10.1007/s10710-017-9314-zopenalex-snapshot
Ian Goodfellow, Yoshua Bengio, and Aaron Courville: Deep learning
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.2020.113401openalex-snapshot
Word2vec-based latent semantic analysis (W2V-LSA) for topic modeling: A study on blockchain technology trend analysis
inferredcites →https://doi.org/10.1016/j.ijinfomgt.2023.102642openalex-snapshot
Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy
inferredcites →https://doi.org/10.1016/j.ins.2022.02.023openalex-snapshot
MAUIL: Multilevel attribute embedding for semisupervised user identity linkage
inferredcites →https://doi.org/10.1016/j.neucom.2018.04.045openalex-snapshot
LSTM with sentence representations for document-level sentiment classification
inferredcites →https://doi.org/10.1108/jrim-05-2017-0030openalex-snapshot
Online sentiment analysis in marketing research: a review
inferredcites →https://doi.org/10.1109/snams58071.2022.10062688openalex-snapshot
ChatGPT: Fundamentals, Applications and Social Impacts
inferredcites →https://doi.org/10.1111/phn.12809openalex-snapshot
Mining twitter to explore the emergence of COVID‐19 symptoms
inferredcites →https://doi.org/10.1145/2389707.2389713openalex-snapshot
Towards large-scale twitter mining for drug-related adverse events
inferredcites →https://doi.org/10.1186/s13673-019-0192-7openalex-snapshot
Research paper classification systems based on TF-IDF and LDA schemes
inferredcites →https://doi.org/10.1186/s40537-016-0043-6openalex-snapshot
A survey of transfer learning
inferredcites →https://doi.org/10.1371/journal.pone.0158450openalex-snapshot
Mining Twitter to Assess the Public Perception of the “Internet of Things”
inferredcites →https://doi.org/10.1371/journal.pone.0211931openalex-snapshot
Perceptions of cervical cancer prevention on Twitter uncovered by different sampling strategies
inferredcites →https://doi.org/10.14569/ijarai.2014.031101openalex-snapshot
Evaluating Sentiment Analysis Methods and Identifying Scope of Negation in Newspaper Articles
inferredcites →https://doi.org/10.1613/jair.4272openalex-snapshot
Sentiment Analysis of Short Informal Texts
inferredcites →https://doi.org/10.18653/v1/n16-1178openalex-snapshot
MGNC-CNN: A Simple Approach to Exploiting Multiple Word Embeddings for Sentence Classification
inferredcites →https://doi.org/10.18653/v1/p18-1031openalex-snapshot
Universal Language Model Fine-tuning for Text Classification
inferredcites →https://doi.org/10.3115/v1/d14-1181openalex-snapshot
Convolutional Neural Networks for Sentence Classification
inferredcites →https://doi.org/10.3115/v1/p14-1062openalex-snapshot
A Convolutional Neural Network for Modelling Sentences
inferredcites →https://doi.org/10.3390/app11188438openalex-snapshot
Sentiment Analysis and Topic Modeling on Tweets about Online Education during COVID-19
inferredcites →https://doi.org/10.3390/bdcc7010035openalex-snapshot
“What Can ChatGPT Do?” Analyzing Early Reactions to the Innovative AI Chatbot on Twitter
inferredcites →https://doi.org/10.3390/ijerph182413028openalex-snapshot
Public Perception of SARS-CoV-2 Vaccinations on Social Media: Questionnaire and Sentiment Analysis
inferredcites →https://doi.org/10.3390/info13100484openalex-snapshot
A Semi-Supervised Approach to Sentiment Analysis of Tweets during the 2022 Philippine Presidential Election
inferredcites →https://doi.org/10.3390/s21165431openalex-snapshot
Sentiment Analysis of Arabic Tweets Regarding Distance Learning in Saudi Arabia during the COVID-19 Pandemic
inferredcites →https://doi.org/10.3390/s22114157openalex-snapshot
Transfer Learning for Sentiment Analysis Using BERT Based Supervised Fine-Tuning
inferredcites →https://doi.org/10.4018/978-1-60960-741-8.ch012openalex-snapshot
Linguistic Inquiry and Word Count (LIWC)
inferredcites →https://doi.org/10.4230/lipics.cosit.2022.18openalex-snapshot
AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at Scale
inferredcites →https://doi.org/10.5120/ijca2015905866openalex-snapshot
Approaches, Tools and Applications for Sentiment Analysis Implementation
inferredcites →https://doi.org/10.51983/ajcst-2019.8.s2.2037openalex-snapshot
A Comprehensive Study on Lexicon Based Approaches for Sentiment Analysis
inferredcites →https://doi.org/10.58496/mjbd/2023/005openalex-snapshot
ChatGPT and Big Data: Enhancing Text-to-Speech Conversion
inferredcites →https://doi.org/10.58496/mjcs/2023/003openalex-snapshot
ChatGPT: Future Directions and Open possibilities
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s44163-026-01277-1openalex-snapshot
Integrating transformers to outperform classical and deep learning in ChatGPT-in-education sentiment analysis with an explainable web app
inferred← citeshttps://doi.org/10.1016/j.procs.2025.04.049openalex-snapshot
Exploring ChatGPT’s Role in Education: An NLP-Based Sentiment and Thematic Study Using Twitter Data
inferred← citeshttps://doi.org/10.1016/j.sbr.2026.100306openalex-snapshot
Multi-method NLP analysis of stakeholder discourse and coordination challenges in the industrial hemp value chain
inferred← citeshttps://doi.org/10.1038/s41598-024-76079-5openalex-snapshot
A hybrid transformer and attention based recurrent neural network for robust and interpretable sentiment analysis of tweets
inferred← citeshttps://doi.org/10.1038/s41598-025-10661-3openalex-snapshot
Sentiment analysis for deepfake X posts using novel transfer learning based word embedding and hybrid LGR approach
inferred← citeshttps://doi.org/10.1063/5.0318095openalex-snapshot
Hybrid model for question tagging based on ChatGPT tweets
inferred← citeshttps://doi.org/10.1108/oir-05-2024-0338openalex-snapshot
The digital whisperer: deciphering topics and sentiments towards ChatGPT on X (Twitter)
inferred← citeshttps://doi.org/10.1109/iccds60734.2024.10560395openalex-snapshot
Cross-Media Topic Modeling: A Comparative Analysis of NMF, LDA and CoRex combined with BERT on Quora and Twitter
inferred← citeshttps://doi.org/10.1109/iccit68739.2025.11491142openalex-snapshot
SentimentFusion-Net: A Hybrid ML-DL Framework for Benchmarking ChatGPT User Opinions on Twitter
inferred← citeshttps://doi.org/10.1109/icict60155.2024.10544699openalex-snapshot
Deep Learning-based Sentiment Analysis of User Generated Reviews of Various AI Powered Mobile Applications
inferred← citeshttps://doi.org/10.1109/idicaihei65991.2025.11379314openalex-snapshot
Performance Evaluation of Traditional and Transformer-Based Models for Sentiment and Emotion Analysis of ChatGPT-Related Tweets
inferred← citeshttps://doi.org/10.1109/incosst69426.2026.11709759openalex-snapshot
Exploring the Impact of Oversampling Strategies on LSTM-Based Sentiment Analysis of ChatGPT Reviews
inferred← citeshttps://doi.org/10.1109/siml65326.2025.11081155openalex-snapshot
Exploring Sentiment Patterns in ChatGPT Interactions: A Machine and Deep Learning Approach to Sentiment Classification
inferred← citeshttps://doi.org/10.1145/3614419.3643997openalex-snapshot
Social Group Differences in the Social Media Discussion about ChatGPT and Bing Chat
inferred← citeshttps://doi.org/10.23939/sisn2024.15.074openalex-snapshot
Methods of Machine Learning and Design of a System for Determining the Emotional Coloring of Ukrainian-language Content
inferred← citeshttps://doi.org/10.31795/baunsobed.1470846openalex-snapshot
Türkiye’de ChatGPT algısı: Bert modeli ile duygu analizi
inferred← citeshttps://doi.org/10.3390/app14093674openalex-snapshot
Deep Learning-Driven Public Opinion Analysis on the Weibo Topic about AI Art
inferred← citeshttps://doi.org/10.3390/electronics13142702openalex-snapshot
An Online Review Data-Driven Fuzzy Large-Scale Group Decision-Making Method Based on Dual Fine-Tuning
inferred← citeshttps://doi.org/10.3390/electronics15142994openalex-snapshot
LLM-Based Classification and Topic Modeling of Generative AI Ethical Risk Discourse on Social Media
inferred← citeshttps://doi.org/10.3390/fi16010012openalex-snapshot
Evaluating Embeddings from Pre-Trained Language Models and Knowledge Graphs for Educational Content Recommendation
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