This course will cover the major techniques for mining and analyzing text data to discover interesting patterns, extract useful knowledge, and support decision making, with an emphasis on statistical approaches that can be generally applied to arbitrary text data in any natural language with no or minimum human effort.
Este curso forma parte de Programa especializado: minería de datos
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ofrecido por
Programa especializado: minería de datos Universidad de Illinois en Urbana-ChampaignAcerca de este Curso
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Fechas límite flexibles
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Certificado para compartir
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100 % en línea
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Curso 3 de 6 en
Aprox. 33 horas para completar
Inglés (English)
Subtítulos: Árabe (Arabic), Francés (French), Portugués (europeo), Italiano, Vietnamita, Coreano, Alemán (German), Ruso (Russian), Inglés (English), Español (Spanish)
Habilidades que obtendrás
- Data Clustering Algorithms
- Text Mining
- Probabilistic Models
- Sentiment Analysis
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 3 de 6 en
Aprox. 33 horas para completar
Inglés (English)
Subtítulos: Árabe (Arabic), Francés (French), Portugués (europeo), Italiano, Vietnamita, Coreano, Alemán (German), Ruso (Russian), Inglés (English), Español (Spanish)
ofrecido por
Universidad de Illinois en Urbana-Champaign
The University of Illinois at Urbana-Champaign is a world leader in research, teaching and public engagement, distinguished by the breadth of its programs, broad academic excellence, and internationally renowned faculty and alumni. Illinois serves the world by creating knowledge, preparing students for lives of impact, and finding solutions to critical societal needs.
Programa - Qué aprenderás en este curso
2 horas para completar
Orientation
You will become familiar with the course, your classmates, and our learning environment. The orientation will also help you obtain the technical skills required for the course.
2 horas para completar
2 videos (Total 15 minutos), 5 lecturas, 2 cuestionarios
4 horas para completar
Week 1
During this module, you will learn the overall course design, an overview of natural language processing techniques and text representation, which are the foundation for all kinds of text-mining applications, and word association mining with a particular focus on mining one of the two basic forms of word associations (i.e., paradigmatic relations).
4 horas para completar
9 videos (Total 109 minutos), 1 lectura, 2 cuestionarios
4 horas para completar
Week 2
During this module, you will learn more about word association mining with a particular focus on mining the other basic form of word association (i.e., syntagmatic relations), and start learning topic analysis with a focus on techniques for mining one topic from text.
4 horas para completar
10 videos (Total 116 minutos), 1 lectura, 2 cuestionarios
10 horas para completar
Week 3
During this module, you will learn topic analysis in depth, including mixture models and how they work, Expectation-Maximization (EM) algorithm and how it can be used to estimate parameters of a mixture model, the basic topic model, Probabilistic Latent Semantic Analysis (PLSA), and how Latent Dirichlet Allocation (LDA) extends PLSA.
10 horas para completar
10 videos (Total 103 minutos), 2 lecturas, 3 cuestionarios
5 horas para completar
Week 4
During this module, you will learn text clustering, including the basic concepts, main clustering techniques, including probabilistic approaches and similarity-based approaches, and how to evaluate text clustering. You will also start learning text categorization, which is related to text clustering, but with pre-defined categories that can be viewed as pre-defining clusters.
5 horas para completar
9 videos (Total 141 minutos), 1 lectura, 2 cuestionarios
Reseñas
- 5 stars67,68 %
- 4 stars20,66 %
- 3 stars8 %
- 2 stars1,89 %
- 1 star1,74 %
Principales reseñas sobre TEXT MINING AND ANALYTICS
por RS27 de dic. de 2020
Practical stuff were lacking in python rest the content was excellent. love the way the instructor taught the content
por CN11 de sep. de 2017
Good course, but if combined with weekly assignments in python and R it would be even better than any other course.
por YZ27 de oct. de 2020
A very good course that perfectly articulates the underlying mathematical principles for all perspectives of text mining.
por WP22 de ago. de 2017
Most of the lessons are mathematical formulae in which, in my opinion, I need more real case study/practice to make myself clearly understand on how do those formulae perform.
Acerca de Programa especializado: minería de datos
The Data Mining Specialization teaches data mining techniques for both structured data which conform to a clearly defined schema, and unstructured data which exist in the form of natural language text. Specific course topics include pattern discovery, clustering, text retrieval, text mining and analytics, and data visualization. The Capstone project task is to solve real-world data mining challenges using a restaurant review data set from Yelp.
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