RoyZhengGao

import argparse
import pandas as pd
import numpy as np 
# import networkx as nx 
import math
from tqdm import tqdm, trange

def parse_args():
	parser = argparse.ArgumentParser(description="Authority Score Yearly Distribution")
	parser.add_argument('-d','--data', default="judicial.csv",

RoyZhengGao

# Import libraries

from gensim.models import doc2vec
from collections import namedtuple

# Load data
doc1 = ["This is a sentence", "This is another sentence"]

# Transform data (you can add more data preprocessing steps) 
docs = []

RoyZhengGao

import java.io.File;

import weka.core.Instances;
import weka.core.converters.ArffLoader;
import weka.core.converters.ConverterUtils.DataSource;

public class LoadingDataFromFile {
  
	public static void main(String[] args) throws Exception{
		//read data directly without considering loader class

RoyZhengGao

package weka;
/*
 *    This program is free software; you can redistribute it and/or modify
 *    it under the terms of the GNU General Public License as published by
 *    the Free Software Foundation; either version 2 of the License, or
 *    (at your option) any later version.
 *
 *    This program is distributed in the hope that it will be useful,
 *    but WITHOUT ANY WARRANTY; without even the implied warranty of
 *    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the

RoyZhengGao

# encoding=utf8
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from bs4 import BeautifulSoup
from datetime import datetime
import datetime as dt
import codecs
import os
import time,random,re
import urllib

RoyZhengGao

package word2vec;

import java.io.BufferedInputStream;
import java.io.DataInputStream;
import java.io.FileInputStream;
import java.io.IOException;
import java.io.InputStream;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.Iterator;