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notebook.tex
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notebook.tex
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% Default to the notebook output style
% Inherit from the specified cell style.
\documentclass[11pt]{article}
\usepackage[T1]{fontenc}
% Nicer default font (+ math font) than Computer Modern for most use cases
\usepackage{mathpazo}
% Basic figure setup, for now with no caption control since it's done
% automatically by Pandoc (which extracts ![](path) syntax from Markdown).
\usepackage{graphicx}
% We will generate all images so they have a width \maxwidth. This means
% that they will get their normal width if they fit onto the page, but
% are scaled down if they would overflow the margins.
\makeatletter
\def\maxwidth{\ifdim\Gin@nat@width>\linewidth\linewidth
\else\Gin@nat@width\fi}
\makeatother
\let\Oldincludegraphics\includegraphics
% Set max figure width to be 80% of text width, for now hardcoded.
\renewcommand{\includegraphics}[1]{\Oldincludegraphics[width=.8\maxwidth]{#1}}
% Ensure that by default, figures have no caption (until we provide a
% proper Figure object with a Caption API and a way to capture that
% in the conversion process - todo).
\usepackage{caption}
\DeclareCaptionLabelFormat{nolabel}{}
\captionsetup{labelformat=nolabel}
\usepackage{adjustbox} % Used to constrain images to a maximum size
\usepackage{xcolor} % Allow colors to be defined
\usepackage{enumerate} % Needed for markdown enumerations to work
\usepackage{geometry} % Used to adjust the document margins
\usepackage{amsmath} % Equations
\usepackage{amssymb} % Equations
\usepackage{textcomp} % defines textquotesingle
% Hack from http://tex.stackexchange.com/a/47451/13684:
\AtBeginDocument{%
\def\PYZsq{\textquotesingle}% Upright quotes in Pygmentized code
}
\usepackage{upquote} % Upright quotes for verbatim code
\usepackage{eurosym} % defines \euro
\usepackage[mathletters]{ucs} % Extended unicode (utf-8) support
\usepackage[utf8x]{inputenc} % Allow utf-8 characters in the tex document
\usepackage{fancyvrb} % verbatim replacement that allows latex
\usepackage{grffile} % extends the file name processing of package graphics
% to support a larger range
% The hyperref package gives us a pdf with properly built
% internal navigation ('pdf bookmarks' for the table of contents,
% internal cross-reference links, web links for URLs, etc.)
\usepackage{hyperref}
\usepackage{longtable} % longtable support required by pandoc >1.10
\usepackage{booktabs} % table support for pandoc > 1.12.2
\usepackage[inline]{enumitem} % IRkernel/repr support (it uses the enumerate* environment)
\usepackage[normalem]{ulem} % ulem is needed to support strikethroughs (\sout)
% normalem makes italics be italics, not underlines
% Colors for the hyperref package
\definecolor{urlcolor}{rgb}{0,.145,.698}
\definecolor{linkcolor}{rgb}{.71,0.21,0.01}
\definecolor{citecolor}{rgb}{.12,.54,.11}
% ANSI colors
\definecolor{ansi-black}{HTML}{3E424D}
\definecolor{ansi-black-intense}{HTML}{282C36}
\definecolor{ansi-red}{HTML}{E75C58}
\definecolor{ansi-red-intense}{HTML}{B22B31}
\definecolor{ansi-green}{HTML}{00A250}
\definecolor{ansi-green-intense}{HTML}{007427}
\definecolor{ansi-yellow}{HTML}{DDB62B}
\definecolor{ansi-yellow-intense}{HTML}{B27D12}
\definecolor{ansi-blue}{HTML}{208FFB}
\definecolor{ansi-blue-intense}{HTML}{0065CA}
\definecolor{ansi-magenta}{HTML}{D160C4}
\definecolor{ansi-magenta-intense}{HTML}{A03196}
\definecolor{ansi-cyan}{HTML}{60C6C8}
\definecolor{ansi-cyan-intense}{HTML}{258F8F}
\definecolor{ansi-white}{HTML}{C5C1B4}
\definecolor{ansi-white-intense}{HTML}{A1A6B2}
% commands and environments needed by pandoc snippets
% extracted from the output of `pandoc -s`
\providecommand{\tightlist}{%
\setlength{\itemsep}{0pt}\setlength{\parskip}{0pt}}
\DefineVerbatimEnvironment{Highlighting}{Verbatim}{commandchars=\\\{\}}
% Add ',fontsize=\small' for more characters per line
\newenvironment{Shaded}{}{}
\newcommand{\KeywordTok}[1]{\textcolor[rgb]{0.00,0.44,0.13}{\textbf{{#1}}}}
\newcommand{\DataTypeTok}[1]{\textcolor[rgb]{0.56,0.13,0.00}{{#1}}}
\newcommand{\DecValTok}[1]{\textcolor[rgb]{0.25,0.63,0.44}{{#1}}}
\newcommand{\BaseNTok}[1]{\textcolor[rgb]{0.25,0.63,0.44}{{#1}}}
\newcommand{\FloatTok}[1]{\textcolor[rgb]{0.25,0.63,0.44}{{#1}}}
\newcommand{\CharTok}[1]{\textcolor[rgb]{0.25,0.44,0.63}{{#1}}}
\newcommand{\StringTok}[1]{\textcolor[rgb]{0.25,0.44,0.63}{{#1}}}
\newcommand{\CommentTok}[1]{\textcolor[rgb]{0.38,0.63,0.69}{\textit{{#1}}}}
\newcommand{\OtherTok}[1]{\textcolor[rgb]{0.00,0.44,0.13}{{#1}}}
\newcommand{\AlertTok}[1]{\textcolor[rgb]{1.00,0.00,0.00}{\textbf{{#1}}}}
\newcommand{\FunctionTok}[1]{\textcolor[rgb]{0.02,0.16,0.49}{{#1}}}
\newcommand{\RegionMarkerTok}[1]{{#1}}
\newcommand{\ErrorTok}[1]{\textcolor[rgb]{1.00,0.00,0.00}{\textbf{{#1}}}}
\newcommand{\NormalTok}[1]{{#1}}
% Additional commands for more recent versions of Pandoc
\newcommand{\ConstantTok}[1]{\textcolor[rgb]{0.53,0.00,0.00}{{#1}}}
\newcommand{\SpecialCharTok}[1]{\textcolor[rgb]{0.25,0.44,0.63}{{#1}}}
\newcommand{\VerbatimStringTok}[1]{\textcolor[rgb]{0.25,0.44,0.63}{{#1}}}
\newcommand{\SpecialStringTok}[1]{\textcolor[rgb]{0.73,0.40,0.53}{{#1}}}
\newcommand{\ImportTok}[1]{{#1}}
\newcommand{\DocumentationTok}[1]{\textcolor[rgb]{0.73,0.13,0.13}{\textit{{#1}}}}
\newcommand{\AnnotationTok}[1]{\textcolor[rgb]{0.38,0.63,0.69}{\textbf{\textit{{#1}}}}}
\newcommand{\CommentVarTok}[1]{\textcolor[rgb]{0.38,0.63,0.69}{\textbf{\textit{{#1}}}}}
\newcommand{\VariableTok}[1]{\textcolor[rgb]{0.10,0.09,0.49}{{#1}}}
\newcommand{\ControlFlowTok}[1]{\textcolor[rgb]{0.00,0.44,0.13}{\textbf{{#1}}}}
\newcommand{\OperatorTok}[1]{\textcolor[rgb]{0.40,0.40,0.40}{{#1}}}
\newcommand{\BuiltInTok}[1]{{#1}}
\newcommand{\ExtensionTok}[1]{{#1}}
\newcommand{\PreprocessorTok}[1]{\textcolor[rgb]{0.74,0.48,0.00}{{#1}}}
\newcommand{\AttributeTok}[1]{\textcolor[rgb]{0.49,0.56,0.16}{{#1}}}
\newcommand{\InformationTok}[1]{\textcolor[rgb]{0.38,0.63,0.69}{\textbf{\textit{{#1}}}}}
\newcommand{\WarningTok}[1]{\textcolor[rgb]{0.38,0.63,0.69}{\textbf{\textit{{#1}}}}}
% Define a nice break command that doesn't care if a line doesn't already
% exist.
\def\br{\hspace*{\fill} \\* }
% Math Jax compatability definitions
\def\gt{>}
\def\lt{<}
% Document parameters
\title{sent\_featuresets}
% Pygments definitions
\makeatletter
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\let\PY@ul=\relax \let\PY@tc=\relax%
\let\PY@bc=\relax \let\PY@ff=\relax}
\def\PY@tok#1{\csname PY@tok@#1\endcsname}
\def\PY@toks#1+{\ifx\relax#1\empty\else%
\PY@tok{#1}\expandafter\PY@toks\fi}
\def\PY@do#1{\PY@bc{\PY@tc{\PY@ul{%
\PY@it{\PY@bf{\PY@ff{#1}}}}}}}
\def\PY#1#2{\PY@reset\PY@toks#1+\relax+\PY@do{#2}}
\expandafter\def\csname PY@tok@gd\endcsname{\def\PY@tc##1{\textcolor[rgb]{0.63,0.00,0.00}{##1}}}
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\expandafter\def\csname PY@tok@s1\endcsname{\def\PY@tc##1{\textcolor[rgb]{0.73,0.13,0.13}{##1}}}
\expandafter\def\csname PY@tok@dl\endcsname{\def\PY@tc##1{\textcolor[rgb]{0.73,0.13,0.13}{##1}}}
\expandafter\def\csname PY@tok@ch\endcsname{\let\PY@it=\textit\def\PY@tc##1{\textcolor[rgb]{0.25,0.50,0.50}{##1}}}
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\expandafter\def\csname PY@tok@gp\endcsname{\let\PY@bf=\textbf\def\PY@tc##1{\textcolor[rgb]{0.00,0.00,0.50}{##1}}}
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\expandafter\def\csname PY@tok@bp\endcsname{\def\PY@tc##1{\textcolor[rgb]{0.00,0.50,0.00}{##1}}}
\expandafter\def\csname PY@tok@c1\endcsname{\let\PY@it=\textit\def\PY@tc##1{\textcolor[rgb]{0.25,0.50,0.50}{##1}}}
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\expandafter\def\csname PY@tok@err\endcsname{\def\PY@bc##1{\setlength{\fboxsep}{0pt}\fcolorbox[rgb]{1.00,0.00,0.00}{1,1,1}{\strut ##1}}}
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\expandafter\def\csname PY@tok@cpf\endcsname{\let\PY@it=\textit\def\PY@tc##1{\textcolor[rgb]{0.25,0.50,0.50}{##1}}}
\expandafter\def\csname PY@tok@kr\endcsname{\let\PY@bf=\textbf\def\PY@tc##1{\textcolor[rgb]{0.00,0.50,0.00}{##1}}}
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\expandafter\def\csname PY@tok@kp\endcsname{\def\PY@tc##1{\textcolor[rgb]{0.00,0.50,0.00}{##1}}}
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\expandafter\def\csname PY@tok@se\endcsname{\let\PY@bf=\textbf\def\PY@tc##1{\textcolor[rgb]{0.73,0.40,0.13}{##1}}}
\expandafter\def\csname PY@tok@sd\endcsname{\let\PY@it=\textit\def\PY@tc##1{\textcolor[rgb]{0.73,0.13,0.13}{##1}}}
\def\PYZbs{\char`\\}
\def\PYZus{\char`\_}
\def\PYZob{\char`\{}
\def\PYZcb{\char`\}}
\def\PYZca{\char`\^}
\def\PYZam{\char`\&}
\def\PYZlt{\char`\<}
\def\PYZgt{\char`\>}
\def\PYZsh{\char`\#}
\def\PYZpc{\char`\%}
\def\PYZdl{\char`\$}
\def\PYZhy{\char`\-}
\def\PYZsq{\char`\'}
\def\PYZdq{\char`\"}
\def\PYZti{\char`\~}
% for compatibility with earlier versions
\def\PYZat{@}
\def\PYZlb{[}
\def\PYZrb{]}
\makeatother
% Exact colors from NB
\definecolor{incolor}{rgb}{0.0, 0.0, 0.5}
\definecolor{outcolor}{rgb}{0.545, 0.0, 0.0}
% Prevent overflowing lines due to hard-to-break entities
\sloppy
% Setup hyperref package
\hypersetup{
breaklinks=true, % so long urls are correctly broken across lines
colorlinks=true,
urlcolor=urlcolor,
linkcolor=linkcolor,
citecolor=citecolor,
}
% Slightly bigger margins than the latex defaults
\geometry{verbose,tmargin=1in,bmargin=1in,lmargin=1in,rmargin=1in}
\begin{document}
\maketitle
\begin{Verbatim}[commandchars=\\\{\}]
{\color{incolor}In [{\color{incolor}2}]:} \PY{k+kn}{import} \PY{n+nn}{nltk}
\PY{k+kn}{from} \PY{n+nn}{nltk.tokenize} \PY{k+kn}{import} \PY{n}{word\PYZus{}tokenize}
\PY{k+kn}{from} \PY{n+nn}{nltk.stem} \PY{k+kn}{import} \PY{n}{WordNetLemmatizer}
\PY{k+kn}{import} \PY{n+nn}{numpy} \PY{k+kn}{as} \PY{n+nn}{numpy}
\PY{k+kn}{import} \PY{n+nn}{random}
\PY{k+kn}{import} \PY{n+nn}{pickle}
\PY{k+kn}{from} \PY{n+nn}{collections} \PY{k+kn}{import} \PY{n}{Counter}
\PY{c+c1}{\PYZsh{}nltk.download()}
\PY{n}{totalLinesToRead} \PY{o}{=} \PY{l+m+mi}{100}
\PY{n}{lemmatizer} \PY{o}{=} \PY{n}{WordNetLemmatizer}\PY{p}{(}\PY{p}{)}
\end{Verbatim}
\begin{Verbatim}[commandchars=\\\{\}]
{\color{incolor}In [{\color{incolor}3}]:} \PY{k}{def} \PY{n+nf}{lexicon\PYZus{}init}\PY{p}{(}\PY{n}{positive}\PY{p}{,} \PY{n}{negative}\PY{p}{)}\PY{p}{:}
\PY{n}{lex} \PY{o}{=} \PY{p}{[}\PY{p}{]}
\PY{k}{for} \PY{n}{file1} \PY{o+ow}{in} \PY{p}{[}\PY{n}{positive}\PY{p}{,} \PY{n}{negative}\PY{p}{]}\PY{p}{:}
\PY{k}{with} \PY{n+nb}{open}\PY{p}{(}\PY{n}{file1}\PY{p}{,} \PY{l+s+s1}{\PYZsq{}}\PY{l+s+s1}{r}\PY{l+s+s1}{\PYZsq{}}\PY{p}{)} \PY{k}{as} \PY{n}{fil}\PY{p}{:}
\PY{n}{contains} \PY{o}{=} \PY{n}{fil}\PY{o}{.}\PY{n}{readlines}\PY{p}{(}\PY{p}{)}
\PY{k}{for} \PY{n}{line} \PY{o+ow}{in} \PY{n}{contains}\PY{p}{[}\PY{p}{:}\PY{n}{totalLinesToRead}\PY{p}{]}\PY{p}{:}
\PY{n}{words} \PY{o}{=} \PY{n}{word\PYZus{}tokenize}\PY{p}{(}\PY{n}{line}\PY{p}{)}
\PY{n}{lex} \PY{o}{+}\PY{o}{=} \PY{n+nb}{list}\PY{p}{(}\PY{n}{words}\PY{p}{)}
\PY{n}{lex} \PY{o}{=} \PY{p}{[}\PY{n}{lemmatizer}\PY{o}{.}\PY{n}{lemmatize}\PY{p}{(}\PY{n}{i}\PY{p}{)} \PY{k}{for} \PY{n}{i} \PY{o+ow}{in} \PY{n}{lex}\PY{p}{]}
\PY{n}{wordC} \PY{o}{=} \PY{n}{Counter}\PY{p}{(}\PY{n}{lex}\PY{p}{)}
\PY{n}{finalLex} \PY{o}{=} \PY{p}{[}\PY{p}{]}
\PY{k}{for} \PY{n}{word} \PY{o+ow}{in} \PY{n}{wordC}\PY{p}{:}
\PY{k}{if} \PY{l+m+mi}{5} \PY{o}{\PYZlt{}} \PY{n}{wordC}\PY{p}{[}\PY{n}{word}\PY{p}{]} \PY{o}{\PYZlt{}} \PY{l+m+mi}{10}\PY{p}{:}
\PY{n}{finalLex}\PY{o}{.}\PY{n}{append}\PY{p}{(}\PY{n}{word}\PY{p}{)}
\PY{k}{print}\PY{p}{(}\PY{n+nb}{len}\PY{p}{(}\PY{n}{finalLex}\PY{p}{)}\PY{p}{)}
\PY{k}{return} \PY{n}{finalLex}
\end{Verbatim}
\begin{Verbatim}[commandchars=\\\{\}]
{\color{incolor}In [{\color{incolor}4}]:} \PY{k}{def} \PY{n+nf}{samples}\PY{p}{(}\PY{n}{classif}\PY{p}{,} \PY{n}{lex}\PY{p}{,} \PY{n}{section}\PY{p}{)}\PY{p}{:}
\PY{n}{features} \PY{o}{=} \PY{p}{[}\PY{p}{]}
\PY{k}{with} \PY{n+nb}{open}\PY{p}{(}\PY{n}{section}\PY{p}{,} \PY{l+s+s1}{\PYZsq{}}\PY{l+s+s1}{r}\PY{l+s+s1}{\PYZsq{}}\PY{p}{)} \PY{k}{as} \PY{n}{file1}\PY{p}{:}
\PY{n}{contents} \PY{o}{=} \PY{n}{file1}\PY{o}{.}\PY{n}{readlines}\PY{p}{(}\PY{p}{)}
\PY{k}{for} \PY{n}{line} \PY{o+ow}{in} \PY{n}{contents}\PY{p}{[}\PY{p}{:}\PY{n}{totalLinesToRead}\PY{p}{]}\PY{p}{:}
\PY{n}{words} \PY{o}{=} \PY{n}{word\PYZus{}tokenize}\PY{p}{(}\PY{n}{line}\PY{o}{.}\PY{n}{lower}\PY{p}{(}\PY{p}{)}\PY{p}{)}
\PY{n}{words} \PY{o}{=} \PY{p}{[}\PY{n}{lemmatizer}\PY{o}{.}\PY{n}{lemmatize}\PY{p}{(}\PY{n}{i}\PY{p}{)} \PY{k}{for} \PY{n}{i} \PY{o+ow}{in} \PY{n}{words}\PY{p}{]}
\PY{n}{feats} \PY{o}{=} \PY{n}{np}\PY{o}{.}\PY{n}{zeros}\PY{p}{(}\PY{n+nb}{len}\PY{p}{(}\PY{n}{lex}\PY{p}{)}\PY{p}{)}
\PY{k}{for} \PY{n}{w} \PY{o+ow}{in} \PY{n}{words}\PY{p}{:}
\PY{k}{if} \PY{n}{w}\PY{o}{.}\PY{n}{lower}\PY{p}{(}\PY{p}{)} \PY{o+ow}{in} \PY{n}{lex}\PY{p}{:}
\PY{n}{index} \PY{o}{=} \PY{n}{lex}\PY{o}{.}\PY{n}{index}\PY{p}{(}\PY{n}{w}\PY{o}{.}\PY{n}{lower}\PY{p}{(}\PY{p}{)}\PY{p}{)}
\PY{n}{feats}\PY{p}{[}\PY{n}{index}\PY{p}{]} \PY{o}{+}\PY{o}{=} \PY{l+m+mi}{1}
\PY{n}{feats} \PY{o}{=} \PY{n+nb}{list}\PY{p}{(}\PY{n}{feats}\PY{p}{)}
\PY{n}{features}\PY{o}{.}\PY{n}{append}\PY{p}{(}\PY{p}{[}\PY{n}{feats}\PY{p}{,} \PY{n}{classif}\PY{p}{]}\PY{p}{)}
\PY{k}{return} \PY{n}{features}
\end{Verbatim}
\begin{Verbatim}[commandchars=\\\{\}]
{\color{incolor}In [{\color{incolor}5}]:} \PY{k}{def} \PY{n+nf}{create\PYZus{}labels\PYZus{}plus\PYZus{}sets}\PY{p}{(}\PY{n}{positive}\PY{p}{,} \PY{n}{negative}\PY{p}{,} \PY{n}{size}\PY{o}{=}\PY{l+m+mf}{0.1}\PY{p}{)}\PY{p}{:}
\PY{n}{lex} \PY{o}{=} \PY{n}{lexicon\PYZus{}init}\PY{p}{(}\PY{n}{positive}\PY{p}{,} \PY{n}{negative}\PY{p}{)}
\PY{n}{features} \PY{o}{=} \PY{p}{[}\PY{p}{]}
\PY{c+c1}{\PYZsh{}sample,lex,classif}
\PY{n}{features} \PY{o}{+}\PY{o}{=} \PY{n}{samples}\PY{p}{(}\PY{p}{[}\PY{l+m+mi}{1}\PY{p}{,}\PY{l+m+mi}{0}\PY{p}{]}\PY{p}{,} \PY{n}{lex}\PY{p}{,} \PY{l+s+s1}{\PYZsq{}}\PY{l+s+s1}{./data/netflix\PYZhy{}train\PYZhy{}pos}\PY{l+s+s1}{\PYZsq{}}\PY{p}{)}
\PY{n}{features} \PY{o}{+}\PY{o}{=} \PY{n}{samples}\PY{p}{(}\PY{p}{[}\PY{l+m+mi}{0}\PY{p}{,}\PY{l+m+mi}{1}\PY{p}{]}\PY{p}{,} \PY{n}{lex}\PY{p}{,} \PY{l+s+s1}{\PYZsq{}}\PY{l+s+s1}{./data/netflix\PYZhy{}train\PYZhy{}neg}\PY{l+s+s1}{\PYZsq{}}\PY{p}{)}
\PY{n}{random}\PY{o}{.}\PY{n}{shuffle}\PY{p}{(}\PY{n}{features}\PY{p}{)}
\PY{n}{features} \PY{o}{=} \PY{n}{np}\PY{o}{.}\PY{n}{array}\PY{p}{(}\PY{n}{features}\PY{p}{)}
\PY{n}{testSize} \PY{o}{=} \PY{n+nb}{int}\PY{p}{(}\PY{n+nb}{len}\PY{p}{(}\PY{n}{features}\PY{p}{)}\PY{o}{*}\PY{n}{size}\PY{p}{)}
\PY{n}{training\PYZus{}one} \PY{o}{=} \PY{n+nb}{list}\PY{p}{(}\PY{n}{features}\PY{p}{[}\PY{p}{:}\PY{p}{,}\PY{l+m+mi}{0}\PY{p}{]}\PY{p}{[}\PY{p}{:}\PY{o}{\PYZhy{}}\PY{n}{testSize}\PY{p}{]}\PY{p}{)}
\PY{n}{training\PYZus{}two} \PY{o}{=} \PY{n+nb}{list}\PY{p}{(}\PY{n}{features}\PY{p}{[}\PY{p}{:}\PY{p}{,}\PY{l+m+mi}{1}\PY{p}{]}\PY{p}{[}\PY{p}{:}\PY{o}{\PYZhy{}}\PY{n}{testSize}\PY{p}{]}\PY{p}{)}
\PY{n}{testing\PYZus{}one} \PY{o}{=} \PY{n+nb}{list}\PY{p}{(}\PY{n}{features}\PY{p}{[}\PY{p}{:}\PY{p}{,}\PY{l+m+mi}{0}\PY{p}{]}\PY{p}{[}\PY{o}{\PYZhy{}}\PY{n}{testSize}\PY{p}{:}\PY{p}{]}\PY{p}{)}
\PY{n}{testing\PYZus{}two} \PY{o}{=} \PY{n+nb}{list}\PY{p}{(}\PY{n}{features}\PY{p}{[}\PY{p}{:}\PY{p}{,}\PY{l+m+mi}{1}\PY{p}{]}\PY{p}{[}\PY{o}{\PYZhy{}}\PY{n}{testSize}\PY{p}{:}\PY{p}{]}\PY{p}{)}
\PY{k}{return} \PY{n}{training\PYZus{}one}\PY{p}{,} \PY{n}{training\PYZus{}two}\PY{p}{,} \PY{n}{testing\PYZus{}one}\PY{p}{,} \PY{n}{testing\PYZus{}two}
\end{Verbatim}
\begin{Verbatim}[commandchars=\\\{\}]
{\color{incolor}In [{\color{incolor}6}]:} \PY{k}{if} \PY{n+nv+vm}{\PYZus{}\PYZus{}name\PYZus{}\PYZus{}} \PY{o}{==} \PY{l+s+s1}{\PYZsq{}}\PY{l+s+s1}{\PYZus{}\PYZus{}main\PYZus{}\PYZus{}}\PY{l+s+s1}{\PYZsq{}}\PY{p}{:}
\PY{n}{training\PYZus{}one}\PY{p}{,} \PY{n}{training\PYZus{}two}\PY{p}{,} \PY{n}{testing\PYZus{}one}\PY{p}{,} \PY{n}{testing\PYZus{}two} \PY{o}{=} \PY{n}{create\PYZus{}labels\PYZus{}plus\PYZus{}sets}\PY{p}{(}\PY{l+s+s1}{\PYZsq{}}\PY{l+s+s1}{./data/netflix\PYZhy{}train\PYZhy{}pos}\PY{l+s+s1}{\PYZsq{}}\PY{p}{,} \PY{l+s+s1}{\PYZsq{}}\PY{l+s+s1}{./data/netflix\PYZhy{}train\PYZhy{}neg}\PY{l+s+s1}{\PYZsq{}}\PY{p}{)}
\PY{k}{with} \PY{n+nb}{open}\PY{p}{(}\PY{l+s+s1}{\PYZsq{}}\PY{l+s+s1}{sentiment\PYZus{}set.pickle}\PY{l+s+s1}{\PYZsq{}}\PY{p}{,} \PY{l+s+s1}{\PYZsq{}}\PY{l+s+s1}{wb}\PY{l+s+s1}{\PYZsq{}}\PY{p}{)} \PY{k}{as} \PY{n}{fil}\PY{p}{:}
\PY{n}{pickle}\PY{o}{.}\PY{n}{dump}\PY{p}{(}\PY{p}{[}\PY{n}{training\PYZus{}one}\PY{p}{,} \PY{n}{training\PYZus{}two}\PY{p}{,} \PY{n}{testing\PYZus{}one}\PY{p}{,} \PY{n}{testing\PYZus{}two}\PY{p}{]}\PY{p}{,} \PY{n}{fil}\PY{p}{)}
\end{Verbatim}
\begin{Verbatim}[commandchars=\\\{\}]
UnicodeDecodeErrorTraceback (most recent call last)
<ipython-input-6-cc6fb7bad71f> in <module>()
1 if \_\_name\_\_ == '\_\_main\_\_':
----> 2 training\_one, training\_two, testing\_one, testing\_two = create\_labels\_plus\_sets('./data/netflix-train-pos', './data/netflix-train-neg')
3 with open('sentiment\_set.pickle', 'wb') as fil:
4 pickle.dump([training\_one, training\_two, testing\_one, testing\_two], fil)
5
<ipython-input-5-062664185904> in create\_labels\_plus\_sets(positive, negative, size)
1 def create\_labels\_plus\_sets(positive, negative, size=0.1):
----> 2 lex = lexicon\_init(positive, negative)
3 features = []
4 \#sample,lex,classif
5 features += samples([1,0], lex, './data/netflix-train-pos')
<ipython-input-3-305f0bf84d87> in lexicon\_init(positive, negative)
5 contains = fil.readlines()
6 for line in contains[:totalLinesToRead]:
----> 7 words = word\_tokenize(line)
8 lex += list(words)
9 lex = [lemmatizer.lemmatize(i) for i in lex]
/usr/local/lib/python2.7/dist-packages/nltk/tokenize/\_\_init\_\_.pyc in word\_tokenize(text, language, preserve\_line)
126 :type preserver\_line: bool
127 """
--> 128 sentences = [text] if preserve\_line else sent\_tokenize(text, language)
129 return [token for sent in sentences
130 for token in \_treebank\_word\_tokenizer.tokenize(sent)]
/usr/local/lib/python2.7/dist-packages/nltk/tokenize/\_\_init\_\_.pyc in sent\_tokenize(text, language)
93 """
94 tokenizer = load('tokenizers/punkt/\{0\}.pickle'.format(language))
---> 95 return tokenizer.tokenize(text)
96
97 \# Standard word tokenizer.
/usr/local/lib/python2.7/dist-packages/nltk/tokenize/punkt.pyc in tokenize(self, text, realign\_boundaries)
1235 Given a text, returns a list of the sentences in that text.
1236 """
-> 1237 return list(self.sentences\_from\_text(text, realign\_boundaries))
1238
1239 def debug\_decisions(self, text):
/usr/local/lib/python2.7/dist-packages/nltk/tokenize/punkt.pyc in sentences\_from\_text(self, text, realign\_boundaries)
1283 follows the period.
1284 """
-> 1285 return [text[s:e] for s, e in self.span\_tokenize(text, realign\_boundaries)]
1286
1287 def \_slices\_from\_text(self, text):
/usr/local/lib/python2.7/dist-packages/nltk/tokenize/punkt.pyc in span\_tokenize(self, text, realign\_boundaries)
1274 if realign\_boundaries:
1275 slices = self.\_realign\_boundaries(text, slices)
-> 1276 return [(sl.start, sl.stop) for sl in slices]
1277
1278 def sentences\_from\_text(self, text, realign\_boundaries=True):
/usr/local/lib/python2.7/dist-packages/nltk/tokenize/punkt.pyc in \_realign\_boundaries(self, text, slices)
1314 """
1315 realign = 0
-> 1316 for sl1, sl2 in \_pair\_iter(slices):
1317 sl1 = slice(sl1.start + realign, sl1.stop)
1318 if not sl2:
/usr/local/lib/python2.7/dist-packages/nltk/tokenize/punkt.pyc in \_pair\_iter(it)
311 it = iter(it)
312 prev = next(it)
--> 313 for el in it:
314 yield (prev, el)
315 prev = el
/usr/local/lib/python2.7/dist-packages/nltk/tokenize/punkt.pyc in \_slices\_from\_text(self, text)
1289 for match in self.\_lang\_vars.period\_context\_re().finditer(text):
1290 context = match.group() + match.group('after\_tok')
-> 1291 if self.text\_contains\_sentbreak(context):
1292 yield slice(last\_break, match.end())
1293 if match.group('next\_tok'):
/usr/local/lib/python2.7/dist-packages/nltk/tokenize/punkt.pyc in text\_contains\_sentbreak(self, text)
1335 """
1336 found = False \# used to ignore last token
-> 1337 for t in self.\_annotate\_tokens(self.\_tokenize\_words(text)):
1338 if found:
1339 return True
/usr/local/lib/python2.7/dist-packages/nltk/tokenize/punkt.pyc in \_annotate\_second\_pass(self, tokens)
1470 heuristic (4.1.2) and frequent sentence starter heuristic (4.1.3).
1471 """
-> 1472 for t1, t2 in \_pair\_iter(tokens):
1473 self.\_second\_pass\_annotation(t1, t2)
1474 yield t1
/usr/local/lib/python2.7/dist-packages/nltk/tokenize/punkt.pyc in \_pair\_iter(it)
310 """
311 it = iter(it)
--> 312 prev = next(it)
313 for el in it:
314 yield (prev, el)
/usr/local/lib/python2.7/dist-packages/nltk/tokenize/punkt.pyc in \_annotate\_first\_pass(self, tokens)
579 - ellipsis\_toks: The indices of all ellipsis marks.
580 """
--> 581 for aug\_tok in tokens:
582 self.\_first\_pass\_annotation(aug\_tok)
583 yield aug\_tok
/usr/local/lib/python2.7/dist-packages/nltk/tokenize/punkt.pyc in \_tokenize\_words(self, plaintext)
544 """
545 parastart = False
--> 546 for line in plaintext.split('\textbackslash{}n'):
547 if line.strip():
548 line\_toks = iter(self.\_lang\_vars.word\_tokenize(line))
UnicodeDecodeError: 'ascii' codec can't decode byte 0xc3 in position 5: ordinal not in range(128)
\end{Verbatim}
% Add a bibliography block to the postdoc
\end{document}