Coaden

var gulp = require('gulp');
var rimraf = require('rimraf');
var clean = require('gulp-clean');
var ts = require('gulp-typescript');
var merge = require('merge-stream');
var sourcemaps = require('gulp-sourcemaps');
var tslint = require('gulp-tslint');

var paths = {
    webroot: './wwwroot',

ankitbko

Our program, who art in memory,
    called by thy name;
  thy operating system run;
thy function be done at runtime
  as it was on development.
Give us this day our daily output.
And forgive us our code duplication,
    as we forgive those who
  duplicate code against us.
And lead us not into frustration;

sloria

from textblob.classifiers import NaiveBayesClassifier
from textblob import TextBlob

train = [
    ('I love this sandwich.', 'pos'),
    ('This is an amazing place!', 'pos'),
    ('I feel very good about these beers.', 'pos'),
    ('This is my best work.', 'pos'),
    ("What an awesome view", 'pos'),
    ('I do not like this restaurant', 'neg'),

cheekybastard

# coding=UTF-8
import nltk
from nltk.corpus import brown

# This is a fast and simple noun phrase extractor (based on NLTK)
# Feel free to use it, just keep a link back to this post
# http://thetokenizer.com/2013/05/09/efficient-way-to-extract-the-main-topics-of-a-sentence/
# Create by Shlomi Babluki
# May, 2013

gavinmh

# -*- coding: utf-8 *-*

'''
The following is a naive, unsupervised text summarizer.
It extracts N of the text's most salient sentences.
Salience is defined as the average of the tf-idf weights of the words in a sentence.
'''
from nltk import sent_tokenize, word_tokenize
from collections import Counter
from math import log10