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Introduction to Text Mining

Learn Introduction to Text Mining from basics in this free online training. This free Text Mining course is taught hands-on by experts. Learn about Cleaning the Data in Text Analytics & much more. Best for Beginners. Start now!

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Introduction to Text Mining

1.5 Learning Hours . Beginner

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About this course

Text Mining is an essential part of Natural Language Processing as this is the digital era and the contet is more text based. In this course we will learn basic concepts of text mining such as data analytics, corpus, data cleaning, and hierarchical clustering with relevant demonstration. 

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Course Outline

Getting Started with Text Mining Analytics
Cleaning the Data in Text Analytics
Performing Hierarchical Clustering in Text Analytics
Demo - Text Analytics

Earn a certificate of completion

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Get free course content

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Learn at your own pace

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Master in-demand skills & tools

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Test your skills with quizzes

Introduction to Text Mining

1.5 Learning Hours . Beginner

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Understanding Text Mining

 

Getting Started with Text Mining Analytics


Text mining is an interdisciplinary field that combines natural language processing (NLP) and data mining techniques to analyze large amounts of unstructured, text-based data. It is used to extract insights from the text data, such as sentiment analysis, topic modeling, theme detection, and more. Text mining is becoming increasingly popular in business, as it is a powerful tool for uncovering insights from customer feedback and other text-based sources.

Cleaning the Data in Text Analytics


The first step in text mining is to clean the data. This involves removing any unnecessary characters, such as punctuation, and transforming the data into a useful format. For example, the text may need to be converted to lowercase or stemmed so that it can be more easily analyzed.

Text Mining Tools


Once the data is cleaned, text mining tools such as natural language processing (NLP) can be used to analyze the data. NLP studies how computers can interpret, understand and generate human language. NLP can be used to extract meaningful insights from text data, such as topic modeling, sentiment analysis, and more.

Performing Hierarchical Clustering in Text Analytics


Hierarchical clustering is a type of unsupervised learning that is used to group similar text documents together. This technique can be used to group text documents into clusters, which can then be used to identify patterns and trends in the data.

Introduction to Text Mining


A free course on Introduction to Text Mining is available online. The course covers text mining basics, from text cleaning and analysis, to more advanced topics such as topic modeling and sentiment analysis. At the end of the course, learners will receive a certificate of completion. This course is a great way to get started in the field of text mining and learn how to extract meaningful insights from text-based data.

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