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@mathiasfls
mathiasfls / passive.R
Created August 19, 2019 21:55 — forked from almogsi/passive.R
This code snippet takes a vector of strings and calculates the percentage of passive voice in the input text. It uses Stanford NLP tool and coreNLP for R.
library(rJava)
library(coreNLP)
initCoreNLP()
#in this case, 'test' is a data frame with a col named 'text'
for (i in 1:dim(test)[1]) {
cat(paste0(i / dim(test)[1] * 100, '% completed'))
ann <- annotateString(paste(test$text[i]), format = c("obj"), outputFile = NA, includeXSL = FALSE)
gd <- getDependency(ann)
# imports
import numpy as np
import matplotlib.pyplot as plt
from sklearn.linear_model import LinearRegression
from sklearn.metrics import mean_squared_error, r2_score
# generate random data-set
np.random.seed(0)
x = np.random.rand(100, 1)
y = 2 + 3 * x + np.random.rand(100, 1)
import mysql.connector
from mysql.connector import Error
import tweepy
import json
from dateutil import parser
import time
import os
import subprocess
#importing file which sets env variable
@mathiasfls
mathiasfls / estados-cidades.json
Created November 2, 2018 22:54 — forked from letanure/estados-cidades.json
JSON estados cidades
{
"estados": [
{
"sigla": "AC",
"nome": "Acre",
"cidades": [
"Acrelândia",
"Assis Brasil",
"Brasiléia",
"Bujari",