3.10 Summary
In this book we view a text as a list of words. A "raw text" is a potentially long string containing words and whitespace formatting, and is how we typically store and visualize a text.
A string is specified in Python using single or double quotes: 'Monty Python', "Monty Python".
The characters of a string are accessed using indexes, counting from zero: 'Monty Python'[0] gives the value M. The length of a string is found using len().
Substrings are accessed using slice notation: 'Monty Python'[1:5] gives the value onty. If the start index is omitted, the substring begins at the start of the string; if the end index is omitted, the slice continues to the end of the string.
Strings can be split into lists: 'Monty Python'.split() gives ['Monty', 'Python']. Lists can be joined into strings: '/'.join(['Monty', 'Python']) gives 'Monty/Python'.
We can read text from a file input.txt using text = open('input.txt').read(). We can read text from url using text = request.urlopen(url).read().decode('utf8'). We can iterate over the lines of a text file using for line in open(f).
We can write text to a file by opening the file for writing output_file = open('output.txt', 'w'), then adding content to the file print("Monty Python", file=output_file).
Texts found on the web may contain unwanted material (such as headers, footers, markup), that need to be removed before we do any linguistic processing.
Tokenization is the segmentation of a text into basic units — or tokens — such as words and punctuation. Tokenization based on whitespace is inadequate for many applications because it bundles punctuation together with words. NLTK provides an off-the-shelf tokenizer nltk.word_tokenize().
Lemmatization is a process that maps the various forms of a word (such as appeared, appears) to the canonical or citation form of the word, also known as the lexeme or lemma (e.g. appear).
Regular expressions are a powerful and flexible method of specifying patterns. Once we have imported the re module, we can use re.findall() to find all substrings in a string that match a pattern.
If a regular expression string includes a backslash, you should tell Python not to preprocess the string, by using a raw string with an r prefix: r'regexp'.
When backslash is used before certain characters, e.g. \n, this takes on a special meaning (newline character); however, when backslash is used before regular expression wildcards and operators, e.g. \., \|, \$, these characters lose their special meaning and are matched literally.
A string formatting expression template % arg_tuple consists of a format string template that contains conversion specifiers like %-6s and %0.2d.