Topic Modeling Workshop for Beginners in Python

Topic Modeling Workshop for Beginners in Python

Dive into a comprehensive 42-minute workshop on topic modeling in Python, combining Gensim, spaCy, NLTK, and other libraries. Learn to process NIPS papers through six key steps: data loading, preparation, exploratory analysis, modeling and tokenization, LDA model building, and evaluation. Master techniques like punctuation removal, word cloud creation, stop word elimination, bigram and trigram generation, lemmatization, and tokenization. Visualize topics and calculate coherence scores to assess model performance. Access the accompanying GitHub notebook for hands-on practice and follow along with detailed time stamps for each section of the tutorial.