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Abstract: Social media platforms, particularly Twitter, have become vital sources for understanding public sentiment due to the rapid, large-scale generation of user opinions. Sentiment analysis of ...

This is a comprehensive data solution designed to streamline the collection, transformation, and analysis of financial data related to gold as a commodity for investment portfolio management. A ...

In today’s digital background, sentiment analysis has become an essential factor of Natural Language Processing (NLP), offering valuable insights from vast online data sources. This paper presents a ...

1 Department of Health Data Science and Biostatistics, University of Texas Southwestern Medical Center, Dallas, TX, United States 2 Department of Bioinformatics, University of Texas Southwestern ...

The analysis pipeline was implemented using Python’s Natural Language Toolkit, Gensim, and scikit-learn libraries, with hyperparameter tuning to maximize model performance. Results: Sentiment analysis ...

Social networks have become one of the most significant sources of diverse information that is hard to quantify numerically. Millions of people discuss stock prices daily, despite not being directly ...

Sentiment analysis promised to unlock the secrets of customer feedback, but outdated methods have left us with shallow insights and oversimplified charts. With the rise of advanced language models, it ...

Customer behavior insights. Sentiment analysis improves customer satisfaction and allows businesses to act on customer feedback quickly. Weather and sentiment synergy. Combining weather data with ...