Improving the word-count script with regular expressions
The main problem with the initial results from our word-count script is that we didn't account for things such as punctuation and capitalization. There are fancy ways to deal with that problem in text processing, but we're going to use a simple way for now. We'll use something called regular expressions in Python. So let's look at how that works, then run it and see it in action.
Text normalization
In the previous section, we had a first crack at counting the number of times each word occurred in our book, but the results weren't that great. We had each individual word that had different capitalization or punctuation surrounding it being counted as a word of its own, and that's not what we want. We want each word to be counted only once, no matter how it's capitalized or what punctuation might surround it. We don't want duplicate words showing up in there. There are toolkits you can get for Python such as NLTK (Natural Language Toolkit...
