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NLP

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Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank. GATE.ac.uk - index.html. Natural Language Toolkit — NLTK 2.0 documentation. Python NLTK Sentiment Analysis with Text Classification Demo. Demos. Nltk.googlecode.com/svn/trunk/doc/book/ch00.html. This is a book about Natural Language Processing. By "natural language" we mean a language that is used for everyday communication by humans; languages like English, Hindi or Portuguese.

In contrast to artificial languages such as programming languages and mathematical notations, natural languages have evolved as they pass from generation to generation, and are hard to pin down with explicit rules. We will take Natural Language Processing — or NLP for short — in a wide sense to cover any kind of computer manipulation of natural language.

At one extreme, it could be as simple as counting word frequencies to compare different writing styles. At the other extreme, NLP involves "understanding" complete human utterances, at least to the extent of being able to give useful responses to them. Technologies based on NLP are becoming increasingly widespread. This book provides a highly accessible introduction to the field of NLP. Audience Emphasis This book is a practical introduction to NLP.