Business and Economics
Learn the bag of words technique for text mining with R.
In today's business landscape, a significant portion of valuable information remains unstructured, primarily in the form of text data. To harness the potential of this untapped resource, text mining techniques offer a solution to extract meaningful insights from unstructured data. This course delves into the fundamentals of text mining, focusing on the widely used bag of words method. Through the initial three chapters, we cover essential concepts for analyzing and visualizing text data. Finally, the course culminates in a practical case study, where you will apply your newfound knowledge to extract valuable insights from employee reviews of two prominent tech companies.
by DataCamp
Learn the bag of words technique for text mining with R.
by DataCamp
Learn sentiment analysis by identifying positive and negative language, specific emotional intent an...
by DataCamp
Learn about string manipulation and become a master at using regular expressions.
by DataCamp
Analyze text data in R using the tidy framework.
by DataCamp
Manipulate text data, analyze it and more by mastering regular expressions and string distances in R...
by DataCamp
Learn how to use spaCy to build advanced natural language understanding systems, using both rule-bas...
by DataCamp
Learn techniques to extract useful information from text and process them into a format suitable for...
by DataCamp
Learn how to use RNNs to classify text sentiment, generate sentences, and translate text between lan...
by DataCamp
In this course, you'll learn how to collect Twitter data and analyze Twitter text, networks, and geo...
by DataCamp
Learn fundamental natural language processing techniques using Python and how to apply them to extra...