python 机器学习之NLP 和分词

# coding=UTF-8
import os
from snownlp import SnowNLP
from snownlp import sentiment

s = SnowNLP(u"奖励你")
print(s.words)
print(s.keywords(3))
print(s.sentences)
print(list(s.tags))
print(s.sentiments)

# print(os.getcwd())

# 训练数据集 pos.txt  为积极情绪数据，neg.txt 为消极情绪数据集 ，执行完分数越高积极情绪越高， 每次添加新词或者短语时会触发机器学习cpu运算开销很大可以放GPU跑
sentiment.train(
    'D:\\Anaconda3\\Lib\\site-packages\\snownlp\\sentiment\\neg.txt',
    'D:\\Anaconda3\\Lib\\site-packages\\snownlp\\sentiment\\pos.txt'
)
sentiment.save('sentiment.marshal.20210521')

　　consolelog

D:\Anaconda3\python.exe "E:/Program Files/wechat-bot-master/client/python/DemoNlp.py"
['奖励', '你']
[]
['奖励你']
[('奖励', 'v'), ('你', 'r')]
0.6153846153846156