hitvoice

aparrish

davidsbatista

DBpedia SPARQL Explorer: http://dbpedia.org/snorql/

DBpedia Virtuoso SPARQL Query Editor: https://dbpedia.org/sparql

=====

People and death-causes

PREFIX dbo: <http://dbpedia.org/ontology/> 

erickrf

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

from __future__ import unicode_literals
from nltk.tokenize import RegexpTokenizer
import argparse
import os

"""
Script for tokenizing Portuguese text according to the Universal Dependencies
(UD) tokenization standards. This script was not created by the UD team; it was

zachguo

from sklearn.metrics import confusion_matrix

def print_cm(cm, labels, hide_zeroes=False, hide_diagonal=False, hide_threshold=None):
    """pretty print for confusion matrixes"""
    columnwidth = max([len(x) for x in labels]+[5]) # 5 is value length
    empty_cell = " " * columnwidth
    # Print header
    print "    " + empty_cell,
    for label in labels: 
        print "%{0}s".format(columnwidth) % label,

rxaviers

People

:bowtie:	😄 :smile:	😆 :laughing:
😊 :blush:	😃 :smiley:	☺️ :relaxed:
😏 :smirk:	😍 :heart_eyes:	😘 :kissing_heart:
😚 :kissing_closed_eyes:	😳 :flushed:	😌 :relieved:
😆 :satisfied:	😁 :grin:	😉 :wink:
😜 :stuck_out_tongue_winking_eye:	😝 :stuck_out_tongue_closed_eyes:	😀 :grinning:
😗 :kissing:	😙 :kissing_smiling_eyes:	😛 :stuck_out_tongue: