Topic Modelling for Text Documents Using NLP Techniques

Explore topic modelling techniques for text documents using Natural Language Processing in this conference talk from Conf42 ML 2024. Discover how to identify entity documents, extract entities within documents, and find similar documents. Learn about data cleaning processes and document clustering methods, including agglomerative clustering. Gain insights into practical use cases and implementation strategies for text analysis and organization. Follow along with the speaker's step-by-step approach, from initial preamble to final clustering results, and understand how to apply these NLP techniques to real-world text processing challenges.

intro
preamble
use case
identify entity documents
identify entities within documents
identify similar documents
clean data
build documents clusters
agglomerative clustering
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