When indexing text based word frequency / relevance which may be applicable for web searches, one of the procedures used is to create a term frequency (tf) array followed by an inverse document frequency (idf) one. You can read more about this here.
In a previous post I experimented with some text in order to build hashmaps with the words of sentences (to keep things in perspective for a blog post). In that post I used a string that I copied from a course I took some years ago. The sting was already preprocessed. The text had already been stripped off punctuation marks. Continue reading “More than a List of Words”
This blog entry is based on the example on page 141 of Algorithms fourth edition by Robert Sedgewick and Kevin Wayne. I am reading the book as a refresher and learning experience on computer algorithms. Initially what called my attention was the statement that it contains 50 algorithms that every programmer should know. I want to make sure I have a good handle on those algorithms. After reading the first few chapters which have not cover the algorithms yet, I feel that the way the ground work is presented is very educational, direct to the point and simple to follow. I always like simplicity in code and documentation. Elegant code is very hard to find and write. This book seems that it should help readers achieve such goal.