Este curso faz parte do Programa de cursos integrados Data Mining

oferecido por

Programa de cursos integrados Data Mining

University of Illinois at Urbana-Champaign

Informações sobre o curso

4.4

309 classificações

•

87 avaliações

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.
Detailed analysis of text data requires understanding of natural language text, which is known to be a difficult task for computers. However, a number of statistical approaches have been shown to work well for the "shallow" but robust analysis of text data for pattern finding and knowledge discovery. You will learn the basic concepts, principles, and major algorithms in text mining and their potential applications....

Comece imediatamente e aprenda em seu próprio cronograma.

Redefinir os prazos de acordo com sua programação.

Aprox. 19 horas restantes

Legendas: English

Data Clustering AlgorithmsText MiningProbabilistic ModelsSentiment Analysis

Comece imediatamente e aprenda em seu próprio cronograma.

Redefinir os prazos de acordo com sua programação.

Aprox. 19 horas restantes

Legendas: English

Seção

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 vídeos (Total de 15 min), 5 leituras, 2 testes

Welcome to Text Mining and Analytics!10min

Syllabus15min

About the Discussion Forums15min

Updating your Profile10min

Social Media10min

Orientation Quiz15min

Pre-Quiz26min

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). ...

9 vídeos (Total de 109 min), 1 leitura, 2 testes

1.2 Overview Text Mining and Analytics: Part 211min

1.3 Natural Language Content Analysis: Part 112min

1.4 Natural Language Content Analysis: Part 24min

1.5 Text Representation: Part 110min

1.6 Text Representation: Part 29min

1.7 Word Association Mining and Analysis15min

1.8 Paradigmatic Relation Discovery Part 114min

1.9 Paradigmatic Relation Discovery Part 217min

Week 1 Overview10min

Week 1 Practice Quizmin

Week 1 Quizmin

Seção

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. ...

10 vídeos (Total de 116 min), 1 leitura, 2 testes

2.2 Syntagmatic Relation Discovery: Conditional Entropy11min

2.3 Syntagmatic Relation Discovery: Mutual Information: Part 113min

2.4 Syntagmatic Relation Discovery: Mutual Information: Part 29min

2.5 Topic Mining and Analysis: Motivation and Task Definition7min

2.6 Topic Mining and Analysis: Term as Topic11min

2.7 Topic Mining and Analysis: Probabilistic Topic Models14min

2.8 Probabilistic Topic Models: Overview of Statistical Language Models: Part 110min

2.9 Probabilistic Topic Models: Overview of Statistical Language Models: Part 213min

2.10 Probabilistic Topic Models: Mining One Topic12min

Week 2 Overview10min

Week 2 Practice Quizmin

Week 2 Quizmin

Seção

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 vídeos (Total de 103 min), 2 leituras, 3 testes

3.2 Probabilistic Topic Models: Mixture Model Estimation: Part 110min

3.3 Probabilistic Topic Models: Mixture Model Estimation: Part 28min

3.4 Probabilistic Topic Models: Expectation-Maximization Algorithm: Part 111min

3.5 Probabilistic Topic Models: Expectation-Maximization Algorithm: Part 210min

3.6 Probabilistic Topic Models: Expectation-Maximization Algorithm: Part 36min

3.7 Probabilistic Latent Semantic Analysis (PLSA): Part 110min

3.8 Probabilistic Latent Semantic Analysis (PLSA): Part 210min

3.9 Latent Dirichlet Allocation (LDA): Part 110min

3.10 Latent Dirichlet Allocation (LDA): Part 212min

Week 3 Overview10min

Programming Assignments Overview10min

Week 3 Practice Quizmin

Quiz: Week 3 Quizmin

Seção

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. ...

9 vídeos (Total de 141 min), 1 leitura, 2 testes

4.2 Text Clustering: Generative Probabilistic Models Part 116min

4.3 Text Clustering: Generative Probabilistic Models Part 28min

4.4 Text Clustering: Generative Probabilistic Models Part 314min

4.5 Text Clustering: Similarity-based Approaches17min

4.6 Text Clustering: Evaluation10min

4.7 Text Categorization: Motivation14min

4.8 Text Categorization: Methods11min

4.9 Text Categorization: Generative Probabilistic Models31min

Week 4 Overview10min

Week 4 Practice Quizmin

Week 4 Quizmin

4.4

comecei uma nova carreira após concluir estes cursos

consegui um benefício significativo de carreira com este curso

recebi um aumento ou promoção

por JH•Feb 10th 2017

Excellent course, the pipeline they propose to help you understand text mining is quite helpful. It has an important introduction to the most key concepts and techniques for text mining and analytics.

por DC•Mar 25th 2018

The content of Text Mining and Analytics is very comprehensive and deep. More practise about how formula works would be better. Quiz could be not tough to be completed after attending every lectures.

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. ...

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.
Courses 2 - 5 of this Specialization form the lecture component of courses in the online Master of Computer Science Degree in Data Science. You can apply to the degree program either before or after you begin the Specialization....

When will I have access to the lectures and assignments?

Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

What will I get if I subscribe to this Specialization?

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

What is the refund policy?

Is financial aid available?

Mais dúvidas? Visite o Central de Ajuda ao Aprendiz.

O Coursera proporciona acesso universal à melhor educação do mundo fazendo parcerias com as melhores universidades e organizações para oferecer cursos on-line.