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Limpieza de datos para el procesamiento de lenguaje natural
Hernán Daniel Merlino
Hernán Daniel Merlino
Este curso te brindará los conocimientos necesarios para la extracción, limpieza y preparación de distintas fuentes de datos para ser incluidos en un proceso de NLP.
Read more
Este curso te brindará los conocimientos necesarios para la extracción, limpieza y preparación de distintas fuentes de datos para ser incluidos en un proceso de NLP.
Read more
Este curso te brindará los conocimientos necesarios para la extracción, limpieza y preparación de distintas fuentes de datos para ser incluidos en un proceso de NLP.
Para realizar este curso es necesario contar con conocimientos de programación de nivel básico a medio, deseablemente conocimiento básico del lenguaje Python y es recomendable conocer el entorno de Jupyter Notebooks del entorno Anaconda.
Para desarrollar aplicaciones se va a utilizar Python 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 y librerías de extracción de datos.
Register for this course and see more details by visiting:
OpenCourser.com/course/ssoxja/limpieza
What's inside
Syllabus
Web Scraping para Procesamiento de Lenguaje Natural
Este módulo te permitirá obtener los conocimientos necesarios para la construcción de un programa de extracción de datos de páginas Web basadas en HTML.
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Syllabus
Web Scraping para Procesamiento de Lenguaje Natural
Este módulo te permitirá obtener los conocimientos necesarios para la construcción de un programa de extracción de datos de páginas Web basadas en HTML.
Read more
HTML Parsing para Procesamiento de Lenguaje Natural
En este módulo se describen un conjunto de pasos necesarios para el pre procesar páginas HTML y extraer información de ellas. Además, se detallarán distintos tipos de aproximación al mismo.
Técnicas avanzadas de Scraping
En este módulo se presentarán las técnicas avanzadas de scraping para extracción de datos de páginas HTML que utilizan diversas librerías de JavaScript para su construcción
Técnicas de Manipulación de texto
Una vez estriado el texto de las paginas HTML que es una fuente habitual de extracción de información, se pueden sumar distintas fuentes de tipos de datos, como ser PDF, DOC, XLS e imágenes. En este módulo se verán diversas técnicas que pueden servir para recolectar la información de ellas y unificarlas en un mismo conjunto de documentos.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
El curso brinda conocimientos para la extracción, limpieza y preparación de fuentes de datos para NLP
Está dirigido a personas con conocimientos de programación y Python
Utiliza librerías como NLTK, Pandas y Scikit-learn
Cubre técnicas de scraping para extraer datos de páginas HTML
Enseña técnicas avanzadas para extraer datos de páginas HTML con JavaScript
Incluye técnicas para manipular y unificar diferentes tipos de datos, como PDF, DOC, XLS e imágenes
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Reviews summary
Nlp data cleaning fundamentals
This NLP data cleaning course is an excellent resource for those new to natural language processing. You'll get a comprehensive overview with helpful examples and documentation to jumpstart your NLP journey.
Activities
Coming soon
We're preparing activities for
Limpieza de datos para el procesamiento de lenguaje natural.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Limpieza de datos para el procesamiento de lenguaje natural will develop knowledge and skills
that may be useful to these careers:
Natural Language Processing Engineer
Natural Language Processing Engineer
Natural Language Processing Engineers design and build systems that can understand and generate human language. They use a variety of techniques to process and analyze text, and they develop algorithms to solve problems such as machine translation and text summarization. This course may be helpful to Natural Language Processing Engineers because it teaches techniques for extracting and cleaning data from websites and documents. This can help Natural Language Processing Engineers to collect and prepare data more efficiently and effectively. Additionally, the course covers techniques for manipulating text, which is essential for Natural Language Processing Engineers.
Technical Writer
Technical Writer
Technical Writers create and maintain technical documentation, such as user manuals, white papers, and training materials. They use a variety of writing and editing skills to communicate complex technical information clearly and concisely. This course may be helpful to Technical Writers because it teaches techniques for extracting and cleaning data from websites and documents. This can help Technical Writers to collect and prepare data more efficiently and effectively. Additionally, the course covers techniques for manipulating text, which is essential for Technical Writers.
Data Scientist
Data Scientist
Data Scientists use statistical and programming techniques to extract knowledge and insights from data. They develop and apply machine learning models to solve business problems. This course may be helpful to Data Scientists because it teaches techniques for extracting and cleaning data from websites and documents. This can help Data Scientists to collect and prepare data more efficiently and effectively. Additionally, the course covers techniques for manipulating text, which can be useful for Data Scientists who need to analyze text data.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, build, and deploy machine learning models. They use a variety of programming languages and tools to automate the process of training and deploying machine learning models. This course may be helpful to Machine Learning Engineers because it teaches techniques for extracting and cleaning data from websites and documents. This can help Machine Learning Engineers to collect and prepare data more efficiently and effectively. Additionally, the course covers techniques for manipulating text, which can be useful for Machine Learning Engineers who need to analyze text data.
Information Architect
Information Architect
Information Architects design and organize websites and other digital content to make it easy for users to find and use. They use a variety of techniques to create intuitive and user-friendly interfaces. This course may be helpful to Information Architects because it teaches techniques for extracting and cleaning data from websites and documents. This can help Information Architects to understand how users interact with websites and to design interfaces that are more effective. Additionally, the course covers techniques for manipulating text, which can be useful for Information Architects who need to create and manage website content.
Search Engine Optimizer
Search Engine Optimizer
Search Engine Optimizers help businesses improve the visibility of their websites in search engine results pages. They use a variety of techniques to optimize website content and structure, and they track website traffic to measure the effectiveness of their optimization efforts. This course may be helpful to Search Engine Optimizers because it teaches techniques for extracting and cleaning data from websites and documents. This can help Search Engine Optimizers to understand how search engines work and to optimize website content more effectively. Additionally, the course covers techniques for manipulating text, which can be useful for Search Engine Optimizers who need to create and manage website content.
Librarian
Librarian
Librarians organize and manage libraries and other information centers. They help users find and access information, and they develop and implement library programs and services. This course may be helpful to Librarians because it teaches techniques for extracting and cleaning data from websites and documents. This can help Librarians to organize and manage library collections more efficiently and effectively. Additionally, the course covers techniques for manipulating text, which can be useful for Librarians who need to create and manage library catalogs and other finding aids.
User Experience Researcher
User Experience Researcher
User Experience Researchers study how users interact with products and services. They use a variety of research methods to identify user needs and preferences, and they design and evaluate user interfaces to improve the user experience. This course may be helpful to User Experience Researchers because it teaches techniques for extracting and cleaning data from websites and documents. This can help User Experience Researchers to collect and prepare data more efficiently and effectively. Additionally, the course covers techniques for manipulating text, which can be useful for User Experience Researchers who need to analyze user feedback.
Web Developer
Web Developer
Web Developers design and develop websites and other web applications. They use a variety of programming languages and tools to create websites that are both functional and visually appealing. This course may be helpful to Web Developers because it teaches techniques for extracting and cleaning data from websites and documents. This can help Web Developers to collect and prepare data more efficiently and effectively. Additionally, the course covers techniques for manipulating text, which can be useful for Web Developers who need to create and manage website content.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain data pipelines that collect, transform, and store data. They use a variety of programming languages and tools to automate data processing tasks. This course may be helpful to Data Engineers because it teaches techniques for extracting and cleaning data from websites and documents. This can help Data Engineers to design and build data pipelines that can collect and prepare data more efficiently and effectively. Additionally, the course covers techniques for manipulating text, which can be useful for Data Engineers who need to process text data.
Knowledge Engineer
Knowledge Engineer
Knowledge Engineers design and build knowledge bases that can be used by computers to solve problems. They use a variety of techniques to represent and organize knowledge in a way that is both computer-readable and human-understandable. This course may be helpful to Knowledge Engineers because it teaches techniques for extracting and cleaning data from websites and documents. This can help Knowledge Engineers to build knowledge bases that are more comprehensive and accurate. Additionally, the course covers techniques for manipulating text, which can be useful for Knowledge Engineers who need to create and manage knowledge base content.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to help businesses make informed decisions. They use a variety of statistical and programming techniques to identify trends, patterns, and relationships in data. This course may be helpful to Data Analysts because it teaches techniques for extracting and cleaning data from websites and documents. This can help Data Analysts to collect and prepare data more efficiently and effectively. Additionally, the course covers techniques for manipulating text, which can be useful for Data Analysts who need to analyze text data.
Research Analyst
Research Analyst
Research Analysts collect, analyze, and interpret data to help businesses make informed decisions. They use a variety of statistical and programming techniques to identify trends, patterns, and relationships in data. This course may be helpful to Research Analysts because it teaches techniques for extracting and cleaning data from websites and documents. This can help Research Analysts to collect and prepare data more efficiently and effectively. Additionally, the course covers techniques for manipulating text, which can be useful for Research Analysts who need to analyze text data.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. They use a variety of programming languages and tools to create software that meets the needs of users. This course may be helpful to Software Engineers because it teaches techniques for extracting and cleaning data from websites and documents. This can help Software Engineers to collect and prepare data more efficiently and effectively. Additionally, the course covers techniques for manipulating text, which can be useful for Software Engineers who need to process text data.
Content Moderator
Content Moderator
Content Moderators review and assess digital content to ensure that it meets community standards, advertising guidelines, and the law. They flag inappropriate content, including hate speech, violence, and pornography. This course may be helpful to Content Moderators because it teaches techniques for extracting and cleaning data from websites and documents. This can help Content Moderators to identify and flag inappropriate content more efficiently and effectively. Additionally, the course covers techniques for manipulating text, which can be useful for Content Moderators who need to summarize or redact content.
For more career information including salaries, visit:
OpenCourser.com/course/ssoxja/limpieza
Reading list
We've selected six books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Limpieza de datos para el procesamiento de lenguaje natural.
Este libro es un recurso práctico para aprender técnicas de scraping web. Proporciona una guía paso a paso sobre cómo extraer datos de páginas web, lo cual es una habilidad crucial para recopilar datos de texto para el PNL.
Esta guía cubre las técnicas de web scraping utilizando Python, incluidas técnicas avanzadas para manejar páginas web complejas.
Es un punto de partida excelente para quienes buscan fundamentos sobre el procesamiento del lenguaje natural. Si bien no se centra específicamente en la limpieza de datos, proporciona conocimientos sólidos sobre los métodos y técnicas esenciales de PNL, lo que lo convierte en una lectura valiosa para este curso.
Save
Este libro proporciona una guía integral para el uso efectivo de Python en la ciencia de datos. Si bien no se centra específicamente en el PNL, ofrece una base sólida en las mejores prácticas y técnicas de Python, que son esenciales para el procesamiento de datos de texto.
Save
Esta guía completa cubre JavaScript, que se utiliza ampliamente para crear páginas web interactivas.
Este libro ofrece una introducción accesible al aprendizaje automático, que es un campo estrechamente relacionado con el PNL. Proporciona una comprensión básica de los conceptos y algoritmos fundamentales que son útiles para el procesamiento de datos de texto.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/ssoxja/limpieza
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Level
Introductory
Via
Coursera
Institution
Universidad Austral
Instructor
Hernán Daniel Merlino
Language
Español
This course belongs to a
collection
called
Procesamiento de Lenguaje Natural. It's comprised of four courses:
- NLP Modelos y Algoritmos
- Introducción al procesamiento de lenguaje natural
- Limpieza de datos para el procesamiento de lenguaje natural (viewing)
- NLP System Architecture and Dev-Ops
Good to know
El curso brinda conocimientos para la extracción, limpieza y preparación de fuentes de datos para NLP
Está dirigido a personas con conocimientos de programación y Python
Utiliza librerías como NLTK, Pandas y Scikit-learn
Cubre técnicas de scraping para extraer datos de páginas HTML
Enseña técnicas avanzadas para extraer datos de páginas HTML con JavaScript
Incluye técnicas para manipular y unificar diferentes tipos de datos, como PDF, DOC, XLS e imágenes
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