Since the wave of large language models (LLM) swept through, the financial industry has been filled with high hopes; however, practical applications have generally fallen into the dilemma of 'loud ...

Research on Cross-Cultural Language Use and Emotional Tendencies on Social Media Platforms Based on Big Data Analysis: Taking ...

Overviews Explore the best NLP books of 2025 to master AI, ML, and deep learning concepts.From classics to modern guides, ...

The analysis of the sentiments can be determined if a piece of message or text or comment has a decent, negative or neutral feeling or sentiment. Analysis of sentiments is a subtype of natural ...

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Contribute to skelletor147/sentimental-analysis development by creating an account on GitHub.

Sentiment analysis of social media posts is important in analyzing stress levels, providing analyzed reports of public mental health trends, and timely interferences. In recent years with the ...

Molecular dynamics (MD) simulations generate extensive data sets that demand reliable and reproducible analysis tools. In this study, we present DynamiSpectra, a Python-based software package and web ...

Analysis of input texts and tweets and get the emotions out of the text. - Releases · the-hulk3/sentimental-analysis ...