Radosław Szewczyk - Building NLP classificators from grond up C++ and Python binding

This presentation delves into the application of sentiment analysis using Natural Language Processing (NLP) and machine learning techniques.

The discussion encompasses the fundamental workings of sentiment analysis, focusing on data processing and classification methodologies. It highlights the current state of implementation, showcasing advancements such as data correction, tokenization, and the use of a Naïve Bayes classifier.

The presentation also provides a detailed explanation of classifiers, emphasizing the mathematical and statistical foundations involved.

Radosław Szewczyk

Computer science student at the Silesian University of Technology interested in ML especially in NLP. Likes building models from scratch. Avid C++ user and Python enthusiast.