Text Mining

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Business Analytics: Diversity of Practical Applications (Coursera)

This course is designed to open the doors of the world of business analytics. Nowadays a lot of organizations make their decisions based on data-driven approach. How to make the right decision? Which methods are used in multinational companies? This course is about demonstrating the diversity of real [...]
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Introduction to Text Mining with R (Coursera)

This course gives you access to the text mining techniques that are used by top data scientists from all over the world. Since most information available online in the form of text, knowing when and how to use these techniques, algorithms and models will not only give you an [...]
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Hands-on Text Mining and Analytics (Coursera)

This course provides an unique opportunity for you to learn key components of text mining and analytics aided by the real world datasets and the text mining toolkit written in Java. Hands-on experience in core text mining techniques including text preprocessing, sentiment analysis, and topic modeling help learners be [...]
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Text Mining and Analytics (Coursera)

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. [...]
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Average: 9 ( 3 votes )

Applied Text Mining in Python (Coursera)

This course will introduce the learner to text mining and text manipulation basics. The course begins with an understanding of how text is handled by python, the structure of text both to the machine and to humans, and an overview of the nltk framework for manipulating text. The second [...]
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Introducing Text Analytics (edX)

Learn the core techniques of computational linguistics alongside the cognitive science that makes it all possible and the ethics we need to use it properly. This first course introduces the core techniques of natural language processing (NLP) and computational linguistics. But we introduce these techniques from data science alongside [...]
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Data Science: Wrangling (edX)

Learn to process and convert raw data into formats needed for analysis. In this course, we cover several standard steps of the data wrangling process like importing data into R, tidying data, string processing, HTML parsing, working with dates and times, and text mining. Rarely are all these wrangling [...]
10
Average: 10 ( 3 votes )