Thematic segmentation with NLP and Python (for a voice journal)
Natural Language Processing (NLP) offers powerful tools for analyzing and understanding human language. This article explores the application of NLP techniques in building a processing pipeline for voice journal transcripts.
The goal is to segment these transcripts into coherent units, preparing them for high-quality classification in subsequent steps of analysis.