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Discover a streamlined approach to natural language processing in this 27-minute conference talk from EuroPython 2020. Learn how to set up an efficient workflow for textual data analysis using NLPeasy, a Python package that simplifies the process of enriching, analyzing, and exploring text-based information. Explore the architecture and capabilities of NLPeasy, including its integration with pre-trained models for word embeddings, sentiment analysis, part-of-speech tagging, and dependency parsing. Gain insights into leveraging the Elastic Stack and Docker for data ingestion and visualization, and see how to generate Kibana dashboards for intuitive data exploration. Follow along as the speaker demonstrates the package's functionality within a Jupyter Notebook environment, making complex NLP tasks accessible and manageable for data scientists and researchers.
