Abstract: The volume of user-generated content that the social media space, particularly that of Reddit, produces is unprecedented, which now can be considered an excellent source of analysis for the ...
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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 ...
A fresh inflation reading a day earlier showed an uptick in price increases. Consumer sentiment dampened in September, extending a decline from the previous month as government data showed a hiring ...
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Sentiment analysis promised to unlock the secrets of customer feedback, but outdated methods have left us with shallow insights and oversimplified charts.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 ...