Abstract: This study investigates the application of deep learning and advanced machine learning techniques to sentiment analysis and thematic clustering in small and medium-sized news datasets.
1 School of Computing and Data Science, Wentworth Institute of Technology, Boston, USA. 2 Department of Computer Science and Quantitative Methods, Austin Peay State University, Clarksville, USA. 3 ...
Have you ever wondered how businesses sift through mountains of customer feedback to uncover what truly matters? Imagine receiving hundreds, if not thousands, of product reviews, emails, or survey ...
The average value of displacement in the training sample: 196.745 The average value of displacement in the test sample: 188.996 The average value of horsepower in the training sample: 104.883 The ...
ABSTRACT: 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 ...
Use ChatGPT to summarize market news, interpret on-chain data, compare token metrics, and spot sentiment shifts using structured prompts. ChatGPT can simplify and accelerate crypto analysis by ...
This project explores confidence levels in cryptocurrency predictions using Ridge Regression, a regularized linear modeling approach that addresses multicollinearity among features. By analyzing ...
What if you could turn Excel into a powerhouse for advanced data analysis and automation in just a few clicks? Imagine effortlessly cleaning messy datasets, running complex calculations, or generating ...
Abstract: Social media is growing rapidly as a medium for online communication. Through social media, users can share opinions, stories or other things. The messages shared tend to have various ...
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