vgpena

import json
import numpy as np
import keras
import keras.preprocessing.text as kpt
from keras.preprocessing.text import Tokenizer
from keras.models import model_from_json

# we're still going to use a Tokenizer here, but we don't need to fit it
tokenizer = Tokenizer(num_words=3000)
# for human-friendly printing

2shou

# coding: utf-8

import sys
import jieba
import numpy
from sklearn import metrics
from sklearn.feature_extraction.text import HashingVectorizer
from sklearn.naive_bayes import MultinomialNB

jakemmarsh

class Node:
    def __init__(self, val):
        self.val = val
        self.leftChild = None
        self.rightChild = None
    
    def get(self):
        return self.val
    
    def set(self, val):

luw2007

词的分类

• 实词：名词、动词、形容词、状态词、区别词、数词、量词、代词
• 虚词：副词、介词、连词、助词、拟声词、叹词。

ICTPOS3.0词性标记集

n 名词

nr 人名

nrrb

from selenium import webdriver

profile = webdriver.FirefoxProfile()
# Set proxy settings to manual
profile.set_preference('network.proxy.type', 1)
# Set proxy to Tor client on localhost
profile.set_preference('network.proxy.socks', '127.0.0.1')
profile.set_preference('network.proxy.socks_port', 9050)
# Disable all images from loading, speeds page loading
# http://kb.mozillazine.org/Permissions.default.image