Course Description
This course provides a comprehensive introduction to text analytics using R. Participants will learn how to preprocess, analyze, and visualize text data. The course covers essential techniques for text mining, natural language processing (NLP), and sentiment analysis. Through hands-on exercises and real-world examples, participants will gain practical experience in extracting insights from textual data.
Duration
3 Days
Course Objectives
- Understand the basics of text analytics and its importance in data science.
- Learn to preprocess and clean text data for analysis.
- Perform text mining and extract meaningful patterns from text data.
- Apply NLP techniques for text analysis.
- Conduct sentiment analysis and visualize text data.
- Gain hands-on experience through practical projects and case studies.
Course Audience
This course is suitable for:
- Data analysts and data scientists interested in text analytics.
- Researchers and academics working with textual data.
- Business professionals who need to analyze text data for insights.
- Students in data science, statistics, or related fields.