Text mining applications have experienced tremendous advances because of web 2.0 and social networking applications. Recent advances in hardware and software te
This book discusses various aspects of text data mining. Unlike other books that focus on machine learning or databases, it approaches text data mining from a n
Chapter 7. Case Study : Comparing Twitter Archives; Getting the Data and Distribution of Tweets; Word Frequencies; Comparing Word Usage; Changes in Word Use; Fa
Recent years have seen a dramatic growth of natural language text data, including web pages, news articles, scientific literature, emails, enterprise documents,
"The world contains an unimaginably vast amount of digital information which is getting ever vaster ever more rapidly. This makes it possible to do many things