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Electric Vehicle Sentiment Analysis Using Large Language Models
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA)
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An Exploration of Clustering Algorithms for Customer Segmentation in the UK Retail Market
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Electric Vehicle Sentiment Analysis Using Large Language Models
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Machine Learning-Based Sentiment Analysis for Twitter Accounts
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Sentiment Analysis of Review Datasets Using Naïve Bayes‘ and K-NN Classifier
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What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Designing marketing strategies based on a dual-method analysis of consumer attitudes toward generative AI
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Perception–intention misalignment in electric vehicle adoption: A cross-source analysis of survey and social media data in Thailand
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Electrifying urban mobility: Unveiling expert insights on electric quadricycles through topic modelling and sentiment analysis
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Large Language Models in Transportation: A Comprehensive Bibliometric Analysis of Emerging Trends, Challenges, and Future Research
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Aspect-Based Sentiment Analysis of Indonesian YouTube Comments on Electric and Hybrid Vehicles Using IndoBERT and IndoRoBERTa
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Sentiment Analysis of Indonesian News Texts Using IndoBERT and IndoRoBERTa
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Evaluating Global News Sentiment on Electric Vehicle Adoption using Gemini 2.0
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A Feature-Oriented Textual Ensemble Framework for Robust Emotion Detection Across Diverse Classification Paradigms
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Urban sentiment mapping using language and vision models in spatial analysis
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Enhancing Electric Vehicle Charging Infrastructure Planning with Pre-Trained Language Models and Spatial Analysis: Insights from Beijing User Reviews
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Brazilian Consumer Perceptions of Electric Vehicles Using LLMs on Online Comments
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