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emotion_cn.py
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# -*- coding: utf-8 -*-
# @Time : 19-3-28 上午10:14
# @Author : Redtree
# @File : emotion_cn.py
# @Desc :
import load_dict
all_list = load_dict.getAllList()
import jieba
import random
#文本情感分析算法
def cutSentence(input): #结巴分词
seg_list = jieba.cut(input) # 默认是精确模式
segwordList = (",".join(seg_list))
ssp = segwordList.split(',') #分词结果放进数组里，方便校验
return ssp
def reduceFunc(reduceTimes): #适用于累加条件下的衰减法 （pos and neg）
addY=(10/reduceTimes)/10
return addY #衰减后当此追加的情感值
def levelReduceFunc(levelReduceTimes,level,type): #适用于区间叠乘条件下的衰减法 （level）
if level==6:
levela=2 #区间下限
levelb=2.5 #区间上限
levelER=0.67 #衰减系数
if level==5:
levela=1.6 #区间下限
levelb=1.9 #区间上限
levelER=0.67 #衰减系数
if level==4:
levela=1.2 #区间下限
levelb=1.6 #区间上限
levelER=0.67 #衰减系数
if level==3:
levela=0.6 #区间下限
levelb=0.9 #区间上限
levelER=1.23 #衰减系数
if level == 2:
levela = 0.4 # 区间下限
levelb = 0.7 # 区间上限
levelER = 1.23 # 衰减系数
if level == 1:
levela = 0.2 # 区间下限
levelb = 0.5 # 区间上限
levelER = 1.23 # 衰减系数
if level >= 4:
if type == 'topLimit': #上限衰减
levelbCheck = levelb * (levelER ** (levelReduceTimes - 1))
if levelbCheck<=1.001:
levelbCheck = 1.001
return levelbCheck
if type == 'lowerLimit': #下限衰减
levelaCheck = levela * (levelER ** (levelReduceTimes - 1))
if levelaCheck<=1.000:
levelaCheck = 1.000
return levelaCheck
if level <=3 :
if type == 'topLimit': # 上限衰减
levelbCheck = levelb * (levelER ** (levelReduceTimes - 1))
if levelbCheck >= 1.000:
levelbCheck = 1.000
return levelbCheck
if type == 'lowerLimit': # 下限衰减
levelaCheck = levela * (levelER ** (levelReduceTimes - 1))
if levelaCheck >= 0.998:
levelaCheck = 0.998
return levelaCheck
def checkMoodValue(segwordList): #获取句子的情感能量值 mv =(posV*(functionE)+negV*(functionE))*isFouDing*chekLevel
MoodValue = 0 #functionE 为待加算法，用于处理重复数据的量级衰减
isFouDing = 1
checkLevel=1
posreduceTimes=1
negreduceTimes=1
level6ReduceTimes=1
level5ReduceTimes=1
level4ReduceTimes=1
level3ReduceTimes = 1
level2ReduceTimes = 1
level1ReduceTimes = 1
#正能量词Check
for segWord in segwordList:
for onePos in all_list.positive_words_cn:
if str(segWord) == str(onePos):
MoodValue=MoodValue + reduceFunc(posreduceTimes);
posreduceTimes=posreduceTimes+1;
break
# 负能量词Check
for segWord in segwordList:
for oneNeg in all_list.negative_words_cn:
if str(segWord) == str(oneNeg):
MoodValue = MoodValue - reduceFunc(negreduceTimes);
negreduceTimes = negreduceTimes+1;
break
# 否定词Check
for segWord in segwordList:
for fdword in all_list.fouding_words_cn:
if str(segWord) == str(fdword):
isFouDing = isFouDing * (-1)
break
# 程度级Check 矫正系数 er
# level1 矫正系数(0.2~0.5)
# level2 矫正系数(0.4~0.7)
# level3 矫正系数(0.6~0.9)
# level4 矫正系数(1.2~1.6)
# level5 矫正系数(1.6~1.9)
# level6 矫正系数(2.0~2.5)
for segWord in segwordList:
for oneLevel in all_list.level1_words_cn:
if str(segWord) == str(oneLevel):
er = random.uniform(levelReduceFunc(level1ReduceTimes,1,'lowerLimit'), levelReduceFunc(level2ReduceTimes,1,'topLimit'))
level1ReduceTimes = level1ReduceTimes + 1
checkLevel = checkLevel * er
break
for oneLevel in all_list.level2_words_cn:
if str(segWord) == str(oneLevel):
er = random.uniform(levelReduceFunc(level2ReduceTimes,2,'lowerLimit'), levelReduceFunc(level2ReduceTimes,2,'topLimit'))
level2ReduceTimes = level2ReduceTimes + 1
checkLevel = checkLevel * er
break
for oneLevel in all_list.level3_words_cn:
if str(segWord) == str(oneLevel):
er = random.uniform(levelReduceFunc(level3ReduceTimes,3,'lowerLimit'), levelReduceFunc(level3ReduceTimes,3,'topLimit'))
level3ReduceTimes=level3ReduceTimes+1
checkLevel = checkLevel * er
break
for oneLevel in all_list.level4_words_cn:
if str(segWord) == str(oneLevel):
er = random.uniform(levelReduceFunc(level4ReduceTimes,4,'lowerLimit'), levelReduceFunc(level4ReduceTimes,4,'topLimit'))
level4ReduceTimes=level4ReduceTimes+1
checkLevel = checkLevel * er
break
for oneLevel in all_list.level5_words_cn:
if str(segWord) == str(oneLevel):
er = random.uniform(levelReduceFunc(level5ReduceTimes,5,'lowerLimit'), levelReduceFunc(level5ReduceTimes,5,'topLimit'))
level5ReduceTimes=level5ReduceTimes+1
checkLevel = checkLevel * er
break
for oneLevel in all_list.level6_words_cn:
if str(segWord) == str(oneLevel):
er = random.uniform(levelReduceFunc(level6ReduceTimes,6,'lowerLimit'), levelReduceFunc(level6ReduceTimes,6,'topLimit'))
level6ReduceTimes=level6ReduceTimes+1
checkLevel = checkLevel * er
break
MoodValue = MoodValue * isFouDing * checkLevel
return MoodValue
def getMoodValue(text):
try:
text = str(text).replace('，','，|')
text = str(text).replace('。','。|')
text = str(text).replace(',','，|')
text = str(text).replace('.','。|')
text = str(text).replace('!','!|')
text = str(text).replace('！','！|')
text = str(text).replace('？','？|')
text = str(text).replace('?','?|')
tsp_list = text.split('|')
result_list = []
all_mv = 0
for tl in tsp_list:
if tl !='':
segwordList = cutSentence(tl)
MoodValue = checkMoodValue(segwordList)
tmp = {'text': str(tl), 'value': round(MoodValue,6)}
all_mv = all_mv + MoodValue
result_list.append(tmp)
res = {'all_value': round(all_mv, 6), 'split': result_list}
return res
except:
return 'error'