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Text Mining and Analytics · LearnSpace
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Text Mining and Analytics

Курс от University of Illinois Urbana-Champaign
Уровень не указан≈ 33.5 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

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.

Навыки, которые вы освоите

Text MiningProbability & StatisticsUnsupervised LearningNatural Language ProcessingData AnalysisStatistical MethodsProbability DistributionData MiningStatistical AnalysisAnalyticsGenerative Model ArchitecturesUnstructured DataData-Driven Decision-MakingModel OptimizationCorrelation AnalysisClassification AlgorithmsApplied Machine LearningStatistical Machine Learning

Программа курса

7 модулей · 84 учебных материалов

01Orientation10 материалов

About the Course

Welcome to Text Mining and Analytics!ЧтениеSyllabusЧтениеAbout the Discussion ForumsЧтениеUpdating your ProfileЧтение

Учитесь у экспертов

ChengXiang Zhai

Professor

Text Mining and Analytics
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Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 33.5 ч

7 модулей

Язык: Английский

Субтитры: Арабский, Французский, Бенгальский, Украинский, Китайский (Китай), Греческий, Итальянский, Бразильский португальский, Вьетнамский, Нидерландский, Корейский, Немецкий, Пушту, Урду, Русский, Тайский, Индонезийский, Шведский, Турецкий, Азербайджанский, Испанский, Дари, Хинди, Японский, Казахский, Венгерский, Польский

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Social MediaЧтение

Orientation Activities

Introduction to Text Mining and AnalyticsВидеоCourse Prerequisites & CompletionВидеоOrientation QuizЗаданиеPre-QuizЗаданиеWelcome! Please tell us about yourself.PLUGIN
02Week 112 материалов

Week 1 Information

Week 1 OverviewЧтение

Week 1 Lessons

1.1 Overview Text Mining and Analytics: Part 1Видео1.2 Overview Text Mining and Analytics: Part 2Видео1.3 Natural Language Content Analysis: Part 1Видео1.4 Natural Language Content Analysis: Part 2Видео1.5 Text Representation: Part 1Видео1.6 Text Representation: Part 2Видео1.7 Word Association Mining and AnalysisВидео1.8 Paradigmatic Relation Discovery Part 1Видео1.9 Paradigmatic Relation Discovery Part 2Видео

Week 1 Activities

Week 1 Practice QuizЗаданиеWeek 1 QuizЗадание
03Week 213 материалов

Week 2 Information

Week 2 OverviewЧтение

Week 2 Lessons

2.1 Syntagmatic Relation Discovery: EntropyВидео2.2 Syntagmatic Relation Discovery: Conditional EntropyВидео2.3 Syntagmatic Relation Discovery: Mutual Information: Part 1Видео2.4 Syntagmatic Relation Discovery: Mutual Information: Part 2Видео2.5 Topic Mining and Analysis: Motivation and Task DefinitionВидео2.6 Topic Mining and Analysis: Term as TopicВидео2.7 Topic Mining and Analysis: Probabilistic Topic ModelsВидео2.8 Probabilistic Topic Models: Overview of Statistical Language Models: Part 1Видео2.9 Probabilistic Topic Models: Overview of Statistical Language Models: Part 2Видео2.10 Probabilistic Topic Models: Mining One TopicВидео

Week 2 Activities

Week 2 Practice QuizЗаданиеWeek 2 QuizЗадание
04Week 315 материалов

Week 3 Information

Week 3 OverviewЧтение

Week 3 Lessons

3.1 Probabilistic Topic Models: Mixture of Unigram Language ModelsВидео3.2 Probabilistic Topic Models: Mixture Model Estimation: Part 1Видео3.3 Probabilistic Topic Models: Mixture Model Estimation: Part 2Видео3.4 Probabilistic Topic Models: Expectation-Maximization Algorithm: Part 1Видео3.5 Probabilistic Topic Models: Expectation-Maximization Algorithm: Part 2Видео3.6 Probabilistic Topic Models: Expectation-Maximization Algorithm: Part 3Видео3.7 Probabilistic Latent Semantic Analysis (PLSA): Part 1Видео3.8 Probabilistic Latent Semantic Analysis (PLSA): Part 2Видео3.9 Latent Dirichlet Allocation (LDA): Part 1Видео3.10 Latent Dirichlet Allocation (LDA): Part 2Видео

Week 3 Activities

Week 3 Practice QuizЗаданиеQuiz: Week 3 QuizЗадание

Honors Track Programming Assignment

Programming Assignments OverviewЧтениеProgramming AssignmentПрограммирование
05Week 412 материалов

Week 4 Information

Week 4 OverviewЧтение

Week 4 Lessons

4.1 Text Clustering: MotivationВидео4.2 Text Clustering: Generative Probabilistic Models Part 1Видео4.3 Text Clustering: Generative Probabilistic Models Part 2Видео4.4 Text Clustering: Generative Probabilistic Models Part 3Видео4.5 Text Clustering: Similarity-based ApproachesВидео4.6 Text Clustering: EvaluationВидео4.7 Text Categorization: MotivationВидео4.8 Text Categorization: MethodsВидео4.9 Text Categorization: Generative Probabilistic ModelsВидео

Week 4 Activities

Week 4 Practice QuizЗаданиеWeek 4 QuizЗадание
06Week 510 материалов

Week 5 Information

Week 5 OverviewЧтение

Week 5 Lessons

5.1 Text Categorization: Discriminative Classifier Part 1Видео5.2 Text Categorization: Discriminative Classifier Part 2Видео5.3 Text Categorization: Evaluation Part 1Видео5.4 Text Categorization: Evaluation Part 2Видео5.5 Opinion Mining and Sentiment Analysis: MotivationВидео5.6 Opinion Mining and Sentiment Analysis: Sentiment ClassificationВидео5.7 Opinion Mining and Sentiment Analysis: Ordinal Logistic RegressionВидео

Week 5 Activities

Week 5 Practice QuizЗаданиеWeek 5 QuizЗадание
07Week 612 материалов

Week 6 Information

Week 6 OverviewЧтение

Week 6 Lessons

6.1 Opinion Mining and Sentiment Analysis: Latent Aspect Rating Analysis Part 1Видео6.2 Opinion Mining and Sentiment Analysis: Latent Aspect Rating Analysis Part 2Видео6.3 Text-Based PredictionВидео6.4 Contextual Text Mining: MotivationВидео6.5 Contextual Text Mining: Contextual Probabilistic Latent Semantic AnalysisВидео6.6 Contextual Text Mining: Mining Topics with Social Network ContextВидео6.7 Contextual Text Mining: Mining Casual Topics with Time Series SupervisionВидео6.8 Course SummaryВидео

Week 6 Activities

Week 6 Practice QuizЗаданиеWeek 6 QuizЗаданиеHow was the course?PLUGIN