In today’s business, every feedback or comment from each and every customer is of the highest importance than ever before. Given the impact of social networks, every piece of text about a product or an organization is directly related to the business. It is estimated that about 70% of this data is unstructured in social networks such as Facebook, youtube, etc., and mostly in text format.
This course focusing on the collection of Text mining techniques to analyze unstructured text data to transform them into insights for business decision making. The topics cover preprocessing the text data, analyzing with various text mining techniques, visualizing with a real-world case study.
Text Mining Training Modules
Text Mining Essentials
- Introduction to Text Mining concepts
- Natural Language Content Analysis
- Word Association and Mining
- Text Representation
Word Association
- Syntagmatic Relation Discovery
- Topic Mining and Analysis
- Probabilistic Topic Models
Text Categorization and Sentiment Analysis
- Discriminative Classifier
- Text Categorization: Evaluation
- Opinion Mining and Sentiment Analysis
- Positive and Negative Word Cloud
Text-based prediction
- Text-based prediction
- Contextual Text Mining
Text Mining Case Study: Sentiment Analysis
- Live Analysis of political views of a citizen with social media content
- Predicting Electorial outcomes with Twitter, youtube comments with sentiment analysis
- Hands-on coding on real-time data
Text Mining – Course Objectives
After successful completion of this “Text Mining” course, you should have acquired a better knowledge on
- Text Mining introduction, Sentiment Analysis with R and Positive and Negative Word Cloud.
- Also would have gained knowledge on Advanced regression using R language and the theory behind it.
- The recommendation engine and the theory lying underneath are also touched upon.
- Also would have gained knowledge on Advanced regression using R language and the theory behind it.
Course Prerequisites
This course doesn’t have mandatory prerequisites. Basic programming knowledge is recommended.
Why this course “Text Mining”?
Text Mining is one of the areas of Data Science with wide business applications. This course will get you ready for Data Analyst and related jobs in the market.
Advantages of “Text Mining”
Data analysis of Business text data requires an important factor, that is understanding of natural language text. Since this is not possible with computers, you need effective statistical approaches along with computer language to attain potential information. Hence, Text Mining is considered as the next big thing in the Business world. With limited Text Mining experts around, learning this “Text Mining” course will improve your efficiency as a business analyst and bring a definite uplift in your career.
Who should do this course?
Freshers, IT Professionals, Business analytics, Web Marketing analysts, Data Mining and statistical consultants with knowledge of Basic statistics and R language, can take up this Text Mining course to learn the techniques of analyzing the natural language text data. In general, analysts who want to pioneer themselves in this charming Text Mining field can pick this course.
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