Analysis of twitter sentiments using machine learning algorithms

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Multilingual prompt engineering via large language models: an approach to sentiment analysis

P Huszár - 2024 - elib.uni-stuttgart.de
Exploring the efficacy of multilingual prompt engineering for sentiment analysis reveals a
promising avenue for extending the adaptability of large language models (LLMs) beyond …
被引用次数：2 相关文章 所有 2 个版本

Efficient Mental Health Therapist Chatbot Assisted by Artificial Intelligence

P Asha, B Adhithya, RS Hariharan… - 2024 10th …, 2024 - ieeexplore.ieee.org
This work suggests developing an AI-based chat bot that may serve as a mental health
therapist in order to address the expanding need for readily available mental health care …
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Unravelling State-wise Crime Patterns with Ensemble Machine Learning and Data Visualization for Public Safety

MVRS Harsha, MHS Akhil - 2024 2nd International …, 2024 - ieeexplore.ieee.org
This study, detailed below, introduces a new method of handling crimes in particular states,
using ensemble machine learning and data visualization techniques in particular, as a way …
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Emotion Detection by Employing Deep Learning CNN Model

P Asha, A Vipulendiran, A Kumaravelu… - … Conference on Data …, 2024 - ieeexplore.ieee.org
Facial expression recognition through computer algorithms presents many challenges,
despite its innate human capability. This study compares some of the most renowned …
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Comparative analysis of machine learning models for sentiment analysis on X (twitter) dataset

A Singh, A Singh, A Kumari, A Chauhan… - Advances in AI for …, 2024 - taylorfrancis.com
Sentiment analysis, is the process of classifying people's opinions related to certain topic.
Social media platforms, particularly X (twitter) serve as deep sources of real-time user …
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