Saltar al contenido principal
InicioRIntroduction to Natural Language Processing in R

Introduction to Natural Language Processing in R

Gain an overview of all the skills and tools needed to excel in Natural Language Processing in R.

Comience El Curso Gratis
4 Horas15 Videos47 Ejercicios
7279 AprendicesTrophyDeclaración de cumplimiento

Crea Tu Cuenta Gratuita

GoogleLinkedInFacebook

o

Al continuar, acepta nuestros Términos de uso, nuestra Política de privacidad y que sus datos se almacenan en los EE. UU.
Group¿Entrenar a 2 o más personas?Pruebe DataCamp para empresas

Preferido por estudiantes en miles de empresas


Descripción del curso

As with any fundamentals course, Introduction to Natural Language Processing in R is designed to equip you with the necessary tools to begin your adventures in analyzing text. Natural language processing (NLP) is a constantly growing field in data science, with some very exciting advancements over the last decade. This course will cover the basics of these topics and prepare you for expanding your analysis capabilities. We dive into regular expressions, topic modeling, named entity recognition, and others, all while providing thorough examples that can be used to kick start your future analysis.
Empresas

Group¿Entrenar a 2 o más personas?

Obtenga acceso de su equipo a la biblioteca completa de DataCamp, con informes centralizados, tareas, proyectos y más
Pruebe DataCamp Para EmpresasPara obtener una solución a medida, reserve una demostración.
  1. 1

    True Fundamentals

    Gratuito

    Chapter 1 of Introduction to Natural Langauge Processing prepares you for running your first analysis on text. You will explore regular expressions and tokenization, two of the most common components of most analysis tasks. With regular expressions, you can search for any pattern you can think of, and with tokenization, you can prepare and clean text for more sophisticated analysis. This chapter is necessary for tackling the techniques we will learn in the remaining chapters of this course.

    Reproducir Capítulo Ahora
    Regular expression basics
    50 xp
    Practicing syntax with grep
    100 xp
    Exploring regular expression functions.
    100 xp
    Tokenization
    50 xp
    tidytext functions
    50 xp
    Tokenization: sentences
    100 xp
    Text cleaning basics
    50 xp
    Text preprocessing: remove stop words
    100 xp
    Text preprocessing: Stemming
    100 xp
  2. 2

    Representations of Text

    In this chapter, you will learn the most common and studied ways to analyze text. You will look at creating a text corpus, expanding a bag-of-words representation into a TFIDF matrix, and use cosine-similarity metrics to determine how similar two pieces of text are to each other. You build on your foundations for practicing NLP before you dive into applications of NLP in chapters 3 and 4.

    Reproducir Capítulo Ahora
  3. 3

    Applications: Classification and Topic Modeling

    Chapter 3 focuses on two common text analysis approaches, classification modeling, and topic modeling. If you are working on text analysis projects, you will inevitably use one or both of these methods. This chapter teaches you how to perform both techniques and provides insight into how to approach these techniques from a practical point of you.

    Reproducir Capítulo Ahora
  4. 4

    Advanced Techniques

    In chapter 4 we cover two staples of natural language processing, sentiment analysis, and word embeddings. These are two analysis techniques that are a must for anyone learning the fundamentals of text analysis. Furthermore, you will briefly learn about BERT, part-of-speech tagging, and named entity recognition. Almost 15 different analysis techniques were covered in this course, so chapter 4 ends by recapping all of the great techniques you will learn about in this course.

    Reproducir Capítulo Ahora
Empresas

Group¿Entrenar a 2 o más personas?

Obtenga acceso de su equipo a la biblioteca completa de DataCamp, con informes centralizados, tareas, proyectos y más

Sets De Datos

Animal FarmRussian Troll tweets

Colaboradores

Collaborator's avatar
Mona Khalil
Collaborator's avatar
Chester Ismay
Collaborator's avatar
Adel Nehme
Kasey Jones HeadshotKasey Jones

Research Data Scientist

Ver Mas

¿Qué tienen que decir otros alumnos?

¡Únete a 13 millones de estudiantes y empieza Introduction to Natural Language Processing in R hoy mismo!

Crea Tu Cuenta Gratuita

GoogleLinkedInFacebook

o

Al continuar, acepta nuestros Términos de uso, nuestra Política de privacidad y que sus datos se almacenan en los EE. UU.