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TextBlob: Simplified Text Processing — TextBlob 0.9.0-dev documentation

TextBlob: Simplified Text Processing — TextBlob 0.9.0-dev documentation
Release v0.8.4. (Changelog) TextBlob is a Python (2 and 3) library for processing textual data. It provides a simple API for diving into common natural language processing (NLP) tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, classification, translation, and more. TextBlob stands on the giant shoulders of NLTK and pattern, and plays nicely with both. Features Noun phrase extractionPart-of-speech taggingSentiment analysisClassification (Naive Bayes, Decision Tree)Language translation and detection powered by Google TranslateTokenization (splitting text into words and sentences)Word and phrase frequenciesParsingn-gramsWord inflection (pluralization and singularization) and lemmatizationSpelling correctionJSON serializationAdd new models or languages through extensionsWordNet integration Get it now $ pip install -U textblob $ python -m textblob.download_corpora Ready to dive in?

http://textblob.readthedocs.org/en/latest/

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Getting Started with TextBlob TextBlob is a new python natural language processing toolkit, which stands on the shoulders of giants like NLTK and Pattern, provides text mining, text analysis and text processing modules for python developers. Here I will introduce the basics of TextBlob and show the text processing result with our demo website: Text Analysis Online. About TextBlob Following is the description from the TextBlob official website: TextBlob is a Python (2 and 3) library for processing textual data.

Freebase - Google+ When we publicly launched Freebase back in 2007, we thought of it as a "Wikipedia for structured data." So it shouldn't be surprising that we've been closely watching the Wikimedia Foundation's project Wikidata[1] since it launched about two years ago. We believe strongly in a robust community-driven effort to collect and curate structured knowledge about the world, but we now think we can serve that goal best by supporting Wikidata -- they’re growing fast, have an active community, and are better-suited to lead an open collaborative knowledge base.

corpus.reader.wordnet — NLTK 3.0 documentation # -*- coding: utf-8 -*-# Natural Language Toolkit: WordNet## Copyright (C) 2001-2014 NLTK Project# Author: Steven Bethard <Steven.Bethard@colorado.edu># Steven Bird <stevenbird1@gmail.com># Edward Loper <edloper@gmail.com># Nitin Madnani <nmadnani@ets.org># URL: < For license information, see LICENSE.TXT """An NLTK interface for WordNet WordNet is a lexical database of English.Using synsets, helps find conceptual relationships between wordssuch as hypernyms, hyponyms, synonyms, antonyms etc. [docs]classWordNetError(Exception):"""An exception class for wordnet-related errors.""" @total_orderingclass _WordNetObject(object): """A common base class for lemmas and synsets.""" def hypernyms(self): return self._related('@') def _hypernyms(self): return self._related('@', sort=False) def instance_hypernyms(self): return self._related('@i') def _instance_hypernyms(self): return self.

Extensible Markup Language (XML) 1.0 (Fifth Edition) 2 Documents [Definition: A data object is an XML document if it is well-formed, as defined in this specification. In addition, the XML document is valid if it meets certain further constraints.] Each XML document has both a logical and a physical structure. Physically, the document is composed of units called entities. The Python Wiki Python is a great object-oriented, interpreted, and interactive programming language. It is often compared (favorably of course ) to Lisp, Tcl, Perl, Ruby, C#, Visual Basic, Visual Fox Pro, Scheme or Java... and it's much more fun. Python combines remarkable power with very clear syntax. It has modules, classes, exceptions, very high level dynamic data types, and dynamic typing. There are interfaces to many system calls and libraries, as well as to various windowing systems .

PDFMiner Last Modified: Mon Mar 24 12:02:47 UTC 2014 Python PDF parser and analyzer Homepage Recent Changes PDFMiner API Pricing Hobby Dataclips Row limited $0 — $9 prorated to the second You pay only for the time your database is provisioned as a fraction of the month. E.g. in a 30 day month having it provisioned for 2 days will cost you 1/15th of the list price. Standard Continuous Protection Performance Analytics Fork / Follow 4 days rollback Max 1 hour downtime / month $50 — $3,500 prorated to the second You pay only for the time your database is provisioned as a fraction of the month. E.g. in a 30 day month having it provisioned for 2 days will cost you 1/15th of the list price. Philosophy — Kivy 1.9.0-dev documentation In case you are wondering what Kivy is all about and what sets it apart from other solutions, this document is for you. Why would you want to use Kivy? After all, there are many great toolkits (or frameworks, or platforms) available out there – for free. You have Qt and Flash, to name just two good choices for application development.

Python Programming/Creating Python Programs Welcome to Python! This tutorial will show you how to start writing programs. Python programs are nothing more than text files, and they may be edited with a standard text editor program.[1] What text editor you use will probably depend on your operating system: any text editor can create Python programs. pyquery pyquery allows you to make jquery queries on xml documents. The API is as much as possible the similar to jquery. pyquery uses lxml for fast xml and html manipulation. This is not (or at least not yet) a library to produce or interact with javascript code. I just liked the jquery API and I missed it in python so I told myself “Hey let’s make jquery in python”. This is the result. It can be used for many purposes, one idea that I might try in the future is to use it for templating with pure http templates that you modify using pyquery.

So, you need to understand language data? Open-source NLP software can help! Understanding language is not easy, even for us humans, but computers are slowly getting better at it. 50 years ago, the psychiatrist chat bot Elyza could successfully initiate a therapy session but very soon you understood that she was responding using simple pattern analysis. Now, the IBM’s supercomputer Watson defeats human champions in a quiz show live on TV. The software pieces required to understand language, like the ones used by Watson, are complex.

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Structure and Interpretation of Computer Programs A powerful programming language is more than just a means for instructing a computer to perform tasks. The language also serves as a framework within which we organize our ideas about processes. Thus, when we describe a language, we should pay particular attention to the means that the language provides for combining simple ideas to form more complex ideas. Every powerful language has three mechanisms for accomplishing this:

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