Text Analysis and Text Mining Overview Text analysis and text mining are processes that derive information from texts such as novels, monographs, articles, web pages, etc. You can use text analysis tools to quickly search through a large corpus, to generate word clouds or find word frequency, to more complex tasks like identifying patterns in parts of speech or identifying sentiments, moods, and emotions in a corpus. This project aims at analyzing texts and produces some statistics on them. In particular, the program will read a text file and generate a statistical report that addresses word-count, word and phrases frequencies in the text files. The text files may include twitter messages, blogs and news. Technique This project heavily relies on the manipulation of string objects. Therefore the C code should be able to read text files and extract statistical properties about it. To extract these properties, one should be familiar with the calculation of histograms.

Goals Write a C program which takes an arbitrary text as an input provided by the user and analyze it. The code should return various statistics on the text.

The programming coding should be in c format not in c++ format or any other languages.Only c format are accepted.