# -*- coding: utf-8 -*-
## 7000 word word2Vec example
from dataHandler.MysqlHandler import DataHandler
import gensim
import os
dbUser = os.environ["DB_USER"]
dbPw = os.environ["DB_PW"]
dataHandler = DataHandler("localhost", dbUser, dbPw, "kisa")
document = {}
termList = dataHandler.getTokenTitle(7000)
texts = [] # docuemnt text
ids = [] # document ids
for term in termList :
if term[1] in document :
document[term[1]].append(term[2])
else:
document[term[1]] = []
document[term[1]].append(term[2])
for key, item in document.items() :
texts.append(item)
ids.append(key)
## 7000 word related topic 예제 by LDA
from dataHandler.MysqlHandler import DataHandler
from analysis.util.DocumentUtil import DocumentUtil
from gensim import corpora, models
import gensim
import os
dbUser = os.environ["DB_USER"]
dbPw = os.environ["DB_PW"]
dataHandler = DataHandler("localhost", dbUser, dbPw, "kisa")
document = {}
termList = dataHandler.getTokenTitle(7000)
texts = [] # docuemnt text
ids = [] # document ids
for term in termList :
if term[1] in document :
document[term[1]].append(term[2])
else:
document[term[1]] = []
document[term[1]].append(term[2])
for key, item in document.items() :
texts.append(item)
ids.append(key)
