  The analysis of social media information has undergone significant evolution
in the last decade due to advancements in artificial intelligence (AI) and
machine learning (ML). This paper provides an overview of the state-of-the-art
techniques in social media mining, with a practical application in analyzing
trends in the 2024 French legislative elections. We leverage natural language
processing (NLP) tools to gauge public opinion by extracting and analyzing
comments and reactions from the AgoraVox platform. The study reveals that the
National Rally party, led by Marine Le Pen, maintains a high level of
engagement on social media, outperforming traditional parties. This trend is
corroborated by user interactions, indicating a strong digital presence. The
results highlight the utility of advanced AI models, such as transformers and
large language models (LLMs), in capturing nuanced public sentiments and
predicting political leanings, demonstrating their potential in real-time
reputation management and crisis response.
