dimitrovs

setInterval(function() {
        var ts = Math.round((new Date()).getTime() / 1000);
        client.query('BEGIN', function(err, result) {
            if (err) {
                return console.error('error running query', err);
            }
            for (var k in big_dict) {
                // use hasOwnProperty to filter out keys from the Object.prototype
                if (big_dict.hasOwnProperty(k)) {
                    var symbol = k;

dimitrovs

import numpy as np
import codecs
import matplotlib.pyplot as plt
import sys
import csv
reload(sys)
sys.setdefaultencoding("ISO-8859-1")

in_file = sys.argv[1]
out_file = sys.argv[2]

dimitrovs

# This script matches names like "Mr. Bennet" (and not just "Bennet")
# in the XML output of CoreNLP, which has one word per token

import xml.etree.ElementTree as ET

e = ET.parse('test.xml').getroot()

word_list = []
character_dict = dict()