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Utilizing machine learning and text mining, this study conducts sentiment and topic analysis on TED talk transcripts, demonstrating a high accuracy in predicting video topics and showcasing a positive sentiment trend, aligning clusters closely with established TED categories while offering insights for future research.

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tm_ted's Introduction

Hi๐Ÿ‘‹ I'm Manunpat Sirijaturaporn (Mandy)

๐Ÿ“ˆ Equipped with a Master's in Management (Business Analytics) from the University of Lausanne and a Bachelor's in Business Administration, I've engaged in extensive data analysis and research, forecasting, and creating innovative data-driven solutions

๐Ÿ’ผ Experienced in diverse roles, from risk analysis at Accenture to academic research, teaching, and hands-on projects. Proficient in R, Python, and data visualization tools like R Shiny and R Markdown

๐ŸŒ Multilingual (Thai, English, und ein bisschen Deutsch) and passionate about leveraging analytical skills to drive impactful innovation in the realm of quantitative analysis

๐Ÿ” Ready to explore new opportunities in the field of data analytics and business intelligence

I like going out close to nature ๐ŸŒฟ and a big fan of dogs ๐Ÿถ

๐Ÿ“ซ How to reach me: [email protected]

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