By Steven Bird, Ewan Klein, Edward Loper
This e-book bargains a hugely obtainable creation to average language processing, the sector that helps various language applied sciences, from predictive textual content and electronic mail filtering to automated summarization and translation. With it, you'll write Python courses that paintings with huge collections of unstructured textual content. You'll entry richly annotated datasets utilizing a complete diversity of linguistic facts buildings, and you'll comprehend the most algorithms for examining the content material and constitution of written communication.
filled with examples and workouts, Natural Language Processing with Python may help you:
• Extract info from unstructured textual content, both to bet the subject or determine "named entities"
• study linguistic constitution in textual content, together with parsing and semantic analysis
• entry renowned linguistic databases, together with WordNet and treebanks
• combine strategies drawn from fields as different as linguistics and synthetic intelligence
This publication can assist you achieve sensible abilities in normal language processing utilizing the Python programming language and the average Language Toolkit (NLTK) open resource library. If you're attracted to constructing net purposes, studying multilingual information assets, or documenting endangered languages -- or if you're easily curious to have a programmer's viewpoint on how human language works -- you'll locate Natural Language Processing with Python either interesting and immensely precious.
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Extra resources for Natural Language Processing with Python
There is also a special no-value value called None. When you enter a value in the Python interpreter, it prints it on the following line: >>> 90 90 >>> When the value is None, nothing is printed, since None means “nothing”: >>> None >>> If you type something Python finds unacceptable in some way, you will see a multiline message describing the problem. Most of what this message says won’t make sense 1 until we’ve covered some other topics, but the last line should be easy to understand and you should learn to pay attention to it.
Startswith(string2[, start[, end]]) Returns True or False according to whether string2 starts with string1. If start is specified, uses that as the position at which to start the comparison; if end is also specified, stops searching before that position in string1. strip([string2]) Returns a string with all characters in string2 removed from its beginning and end; if string2 is not specified, all whitespace is removed. lstrip([string2]) Returns a string with all characters in string2 removed from its beginning; if string2 is not specified, all whitespace is removed.
The story isn’t quite that simple, though. Consider the following example: >>> 4 + 2 * 3 − 1 9 Reading from left to right, we’d have “4+2 is 6, 6*3 is 18, 18−1 is 17,” not 9. So why do we get 9 as the result? Programming languages incorporate operator precedence rules that determine the order in which operations in a series should be performed. Like 16 | Chapter 1: Primitives most programming languages, Python performs multiplications and divisions first and then goes back and performs additions and subtractions.