Procesamiento de Lenguaje Natural is a specialized program offering basic to advanced knowledge for developing applications based on natural language processing (NLP). Participants will gain insights into building their own NLP environment and utilizing NLP applications independently or embedding them into other applications.
Through this course, you will delve into the fundamental principles of NLP, automatic text classification, sentiment analysis, and information extraction. You will also learn about data cleaning and preparation for NLP, including the use of Python, Jupyter Notebooks, and required libraries. Additionally, the course covers the implementation of NLP algorithms and the latest popular algorithms in NLP to solve various domain-specific problems. Furthermore, it equips you with the necessary knowledge for NLP system architecture and DevOps.
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The course modules cover fundamental principles, data cleaning for NLP, NLP algorithms, and NLP system architecture and DevOps.
Entender los rudimentos básicos del Procesamiento de Lenguaje Natural, generar clasificaciones de texto en forma automática, evaluar el sentimiento de un texto en forma automática, y extraer información de un texto en forma automática.
This module provides knowledge about data extraction, cleaning, and preparation for various data sources to be included in NLP processes, requiring basic to intermediate programming skills, preferably basic knowledge of Python, and familiarity with Jupyter Notebooks in the Anaconda environment.
Learn the implementation of NLP algorithms and solve domain-specific problems using the latest popular algorithms in NLP. It requires basic to intermediate programming skills, preferably basic knowledge of Python, and familiarity with Jupyter Notebooks in the Anaconda environment.
This module offers insights into the implementation of popular NLP algorithms and solving domain-specific problems, requiring basic to intermediate programming skills, preferably basic knowledge of Python, and familiarity with Jupyter Notebooks in the Anaconda environment.
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