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Text Mining and Analytics
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Text Mining and Analytics

This course is part of Data Mining.

Course Cost

Free course

Intermediate

Skill Level

31 Hours

Self-paced lessons

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Data Mining Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

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4.5

71,396 Enrolled

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English

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olive-leaves-logo

4.5

71,396 Enrolled

olive-leaves-logo

English

What you'll learn

  • Master statistical techniques for text mining and analysis

  • Implement natural language processing methods for text data

  • Develop skills in topic modeling and text clustering

  • Perform sentiment analysis and opinion mining

  • Apply probabilistic models to text analysis

  • Create practical text mining solutions

Skills you'll gain

Text Mining
Natural Language Processing
Data Clustering
Sentiment Analysis
Topic Modeling
Machine Learning
Statistical Analysis
Data Mining
Probabilistic Models

This course includes:

9.5 Hours PreRecorded video

14 assignments

Access on Mobile, Tablet, Desktop

FullTime access

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Share your certificate with prospective employers and your professional network on LinkedIn.

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Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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There are 7 modules in this course

This comprehensive course covers major techniques for text mining and analysis, emphasizing statistical approaches that can be applied to any natural language text data. Students learn fundamental concepts in natural language processing, text representation, word association mining, topic analysis, clustering, categorization, and sentiment analysis. The curriculum includes practical applications using probabilistic models and hands-on programming assignments.

Orientation

Module 1 · 2 Hours to complete

Week 1

Module 2 · 3 Hours to complete

Week 2

Module 3 · 4 Hours to complete

Week 3

Module 4 · 10 Hours to complete

Week 4

Module 5 · 4 Hours to complete

Week 5

Module 6 · 4 Hours to complete

Week 6

Module 7 · 4 Hours to complete

Fee Structure

Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Data Mining

Reviews

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Text Mining and Analytics

Intermediate

Skill Level

31 Hours

Self-paced lessons

Course Cost

Free course

Completion

CERTIFICATE

Frequently asked Questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.