Introducción al procesamiento de lenguaje natural from Coursera

Este curso te brindará los conocimientos introductorios sobre el procesamiento de lenguaje natural y las diversas tareas relacionadas al pre procesamiento de grandes volúmenes de texto.

Te encontrarás con situaciones cotidianas que se enfrentan al trabajar con proyectos de NLP, para poder poner en juego todo lo aprendido.

Para desarrollar aplicaciones se va a utilizar Pyhon 3.6 o superior. Alternativamente se puede utilizar el entorno de Anaconda con la misma versión de Python.

Como editor de código, los ejemplos van a ser editados en el Notebook de Anaconda, pero el alumno puede utilizar cualquier editor de texto que reconozca notebooks de Anaconda.

Librerías que es necesario tener instaladas para realizar el curso: NLTK, Pandas, SCIKIT-learn.

What's inside

Syllabus

¿Qué es el Procesamiento de Lenguaje Natural?

¡Bienvenidos al primer módulo del curso! En este módulo se presentarán los rudimentos básicos del procesamiento del lenguaje natural (NLP), origen del mismo, principales características, usos frecuentes y problemas apropiados para la resolución mediante esta técnica.

Detalle de las etapas del procesamiento del lenguaje natural

En esta etapa se describen un conjunto de tareas comunes a al procesamiento del lenguaje natural. Al iniciar un proyecto de lenguaje natural ciertas tareas son realizadas, el objetivo de este apartado es entender cuáles son y cómo se deben llevar a cabo.

Evaluar el sentimiento de un texto en forma automática

Uno de los aspectos donde más esfuerzos se han dedicado NLP es poder evaluar la dimensión sentimiento de un texto. En este módulo se definirán las diversas formas de evaluar el sentimiento de un texto, como relacionar este sentimiento a una acción concreta que este alineado a alcanzar algún objetivo de negocio.

Encadenamiento de tareas y control de trabajo

Un aspecto que no es tenido en cuenta en el NLP en términos generales es cómo orquestar un proceso repetitivo para ejecutar las tareas necesarias para el proyecto que se deba implementar. Aquí es importante destacar que en muchos casos se deben manejar gigas de archivos en diversos formatos. Por lo antes expuesto es que en este curso se definirán arquitecturas y técnicas para solucionar el problema en cuestión.

Construcción de entorno para pre procesamiento

En este módulo se unirán todos los conocimientos adquiridos en el curso para generar un modelo de extracción de información en forma automática.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Examines el procesamiento de lenguaje natural, un elemento básico de la industria

Explora las técnicas comunes de procesamiento de lenguaje natural, que son útiles para los proyectos del mundo real

Enseña a evaluar el sentimiento de los textos, lo que ayuda a los estudiantes a comprender el tono y la intención

Desarrolla habilidades en la construcción de entornos para el preprocesamiento, que es esencial para el procesamiento efectivo de grandes volúmenes de texto

Imparte los conocimientos básicos necesarios para el procesamiento del lenguaje natural, lo que es beneficioso para los principiantes

Reviews summary

Impressive nlp intro course

This introductory course in natural language processing is well-received by learners. Reviews remark on its clarity, logical progression, and utility for students new to NLP concepts and programming. It's been praised as a top pick for beginners seeking a solid foundation in NLP.

Hands-on, practical course that prepares learners for real-world NLP.

"La modalidad es muy práctica"

Perfect for learners new to NLP or programming.

"El curso es didáctico y claro, prinicpalmente para aquellos que no estamos relacionados con los conceptos de programación"

Course contains noticeable writing errors.

"contiene varios errores de escritura, como palabras juntas o mal deletreadas"

Payment required to view evaluation results.

"me obliga a pagar para poder ver los resultados"

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Introducción al procesamiento de lenguaje natural with these activities:

Participar en un grupo de estudio o discusión en línea

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Interactuar con compañeros y discutir conceptos de PNL enriquecerá la comprensión y facilitará el aprendizaje colaborativo.

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Unirse a un grupo de estudio o foro de discusión.
Participar activamente en discusiones.
Hacer preguntas y compartir perspectivas.

Seguir tutoriales sobre herramientas y técnicas de PNL

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La práctica práctica con herramientas y técnicas de PNL consolidará la comprensión adquirida durante el curso.

Browse courses on NLTK

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Identificar áreas de PNL para profundizar.
Buscar y seleccionar tutoriales relevantes.
Seguir los tutoriales paso a paso.
Experimentar con diferentes opciones.

Crear una presentación o documento sobre un tema de PNL

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Explicar un tema de PNL a otros reforzará la comprensión y permitirá la comunicación efectiva.

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Seleccionar un tema de PNL.
Investigar y reunir información.
Estructurar la presentación o documento.
Crear contenido atractivo y claro.
Presentar o compartir el trabajo.

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Career center

Learners who complete Introducción al procesamiento de lenguaje natural will develop knowledge and skills that may be useful to these careers:

Language Engineer

A Language Engineer designs and develops language-related technologies, such as natural language processing systems. The course on Introducción al procesamiento de lenguaje natural is a must-have for Language Engineers. The course provides a comprehensive overview of natural language processing techniques, which are essential for developing language-related technologies. The course also covers the evaluation of sentiment in text, which can be useful for improving the user experience of language-related applications.

See salaries and explore the career path for Language Engineer

Natural Language Processing Engineer

A Natural Language Processing Engineer designs and develops natural language processing systems. The course on Introducción al procesamiento de lenguaje natural is essential for Natural Language Processing Engineers. The course provides a comprehensive overview of natural language processing techniques, which are essential for developing natural language processing systems. The course also covers the evaluation of sentiment in text, which can be useful for improving the user experience of natural language processing applications.

See salaries and explore the career path for Natural Language Processing Engineer

Data Analyst

A Data Analyst gathers and analyzes data to identify trends and patterns. The course on Introducción al procesamiento de lenguaje natural provides a solid foundation for Data Analysts. The course teaches students how to preprocess large volumes of text data, which is a valuable skill in the role of Data Analyst. The course also exposes students to natural language processing techniques, which can be used to automate tasks and improve data quality.

See salaries and explore the career path for Data Analyst

Speech Scientist

A Speech Scientist studies speech and language. The course on Introducción al procesamiento de lenguaje natural is a good fit for Speech Scientists. The course provides a good overview of natural language processing techniques, which can be used to analyze speech and language data. The course also covers the evaluation of sentiment in text, which can be useful for understanding the emotions and attitudes conveyed in speech and language.

See salaries and explore the career path for Speech Scientist

User Experience Designer

A User Experience Designer designs and evaluates the user experience of websites, applications, and other products. The course on Introducción al procesamiento de lenguaje natural is a good fit for User Experience Designers. The course provides a good overview of natural language processing techniques, which can be used to improve the user experience of products. The course also covers the evaluation of sentiment in text, which can be useful for understanding user feedback and improving the overall user experience.

See salaries and explore the career path for User Experience Designer

Writer

A Writer creates and maintains written content, such as articles, blog posts, and marketing materials. The course on Introducción al procesamiento de lenguaje natural is a good fit for Writers. The course provides a good overview of natural language processing techniques, which can be used to improve the quality and clarity of written content. The course also covers the evaluation of sentiment in text, which can be useful for understanding the emotions and attitudes conveyed in written content.

See salaries and explore the career path for Writer

Information Architect

An Information Architect designs and maintains the structure and organization of a website or application. The course on Introducción al procesamiento de lenguaje natural is a good fit for Information Architects. The course provides a good overview of natural language processing techniques, which can be used to improve information retrieval and search engine optimization. The course also covers the evaluation of sentiment in text, which can be useful for understanding user feedback and improving the overall user experience.

See salaries and explore the career path for Information Architect

Knowledge Engineer

A Knowledge Engineer builds and maintains knowledge bases, which are used by expert systems and other AI applications. The course on Introducción al procesamiento de lenguaje natural is a good fit for Knowledge Engineers. The course provides a good overview of natural language processing techniques, which can be used to extract knowledge from text data. The course also covers the evaluation of sentiment in text, which can be useful for understanding user feedback and improving knowledge bases.

See salaries and explore the career path for Knowledge Engineer

Search Engine Optimizer

A Search Engine Optimizer optimizes websites and web pages to improve their ranking in search engine results pages. The course on Introducción al procesamiento de lenguaje natural is a good fit for Search Engine Optimizers. The course provides a good overview of natural language processing techniques, which can be used to improve the search engine ranking of websites and web pages. The course also covers the evaluation of sentiment in text, which can be useful for understanding user feedback and improving search engine optimization.

See salaries and explore the career path for Search Engine Optimizer

Technical Writer

A Technical Writer creates and maintains documentation for technical products and services. The course on Introducción al procesamiento de lenguaje natural is a good fit for Technical Writers. The course provides a good overview of natural language processing techniques, which can be used to improve the quality and clarity of technical documentation. The course also covers the evaluation of sentiment in text, which can be useful for understanding user feedback and improving the user experience of technical documentation.

See salaries and explore the career path for Technical Writer

Web Developer

A Web Developer designs and develops websites and web applications. The course on Introducción al procesamiento de lenguaje natural is a good fit for Web Developers. The course provides a good overview of natural language processing techniques, which can be used to improve the user experience of websites and web applications. The course also covers the evaluation of sentiment in text, which can be useful for understanding user feedback and improving websites and web applications.

See salaries and explore the career path for Web Developer

Software Engineer

A Software Engineer designs, develops, and maintains software applications. The course on Introducción al procesamiento de lenguaje natural is a good fit for Software Engineers. The course provides a good overview of natural language processing techniques, which can be used to improve the user experience of software applications. The course also covers the evaluation of sentiment in text, which can be useful for understanding user feedback and improving software applications.

See salaries and explore the career path for Software Engineer

Machine Learning Engineer

A Machine Learning Engineer designs and develops machine learning systems. The course on Introducción al procesamiento de lenguaje natural is a good fit for Machine Learning Engineers. The course provides a good overview of natural language processing techniques, which can be used to improve the performance of machine learning systems. The course also covers the evaluation of sentiment in text, which can be useful for understanding user feedback and improving the overall user experience.

See salaries and explore the career path for Machine Learning Engineer

Business Analyst

A Business Analyst analyzes business processes and systems to identify opportunities for improvement. The course on Introducción al procesamiento de lenguaje natural is a good fit for Business Analysts. The course provides a good overview of natural language processing techniques, which can be used to analyze business data and identify opportunities for improvement. The course also covers the evaluation of sentiment in text, which can be useful for understanding user feedback and improving business processes and systems.

See salaries and explore the career path for Business Analyst

Product Manager

A Product Manager manages the development and marketing of a product. The course on Introducción al procesamiento de lenguaje natural may be useful for Product Managers. The course provides a good overview of natural language processing techniques, which can be used to improve the user experience of products. The course also covers the evaluation of sentiment in text, which can be useful for understanding user feedback and improving products.

See salaries and explore the career path for Product Manager