使用SnowNLP对影评进行情感分析

1.准备数据集

2.准备相关包

from snownlp import SnowNLP
import codecs
import os
import matplotlib.pyplot as plt
import numpy as np

3.代码

对豆瓣电影《肖申克的救赎》评论进行情感分析。
1.情感各分数段出现频率
首先统计各情感分数段出现的评率并绘制对应的柱状图，代码如下

# -*- coding: utf-8 -*-
from snownlp import SnowNLP
import codecs
import os
import matplotlib.pyplot as plt
import numpy as np


source = open("C:\\Users\\Administrator\\Desktop\\data.txt","r",encoding="utf-8")
line = source.readlines()
sentimentslist = []
for i in line:
    s = SnowNLP(i)
    print(s.sentiments)
    sentimentslist.append(s.sentiments)


plt.hist(sentimentslist, bins = np.arange(0, 1, 0.01), facecolor = 'g')
plt.xlabel('Sentiments Probability')
plt.ylabel('Quantity')
plt.title('Analysis of Sentiments')
plt.show()

评率-数量图

对应的情感系数：

2.情感波动分析
接下来分析200条评论，每条评论的波动情况，代码如下所示：

# -*- coding: utf-8 -*-
from snownlp import SnowNLP
import codecs
import os
import matplotlib.pyplot as plt
import numpy as np


source = open("C:\\Users\\Administrator\\Desktop\\data.txt","r",encoding="utf-8")
line = source.readlines()
sentimentslist = []
for i in line:
    s = SnowNLP(i)
    print(s.sentiments)
    sentimentslist.append(s.sentiments)


#情感波动分析
result = []
i = 0
while i

位于0以上的是积极评论，反之消极评论