gensim conherence model C_V 值与其他指标负相关BUG-Toy模板网

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在我用gensim3.8.3 conherence model分析京东评论主题模型时， C_V 与npmi、u_mass出现了强烈的皮尔逊负相关：

gensim conherence model C_V 值与其他指标负相关BUG,NLP,bug,数据分析,gensim

这些地方也反映了类似问题：

https://github.com/dice-group/Palmetto/issues/12

https://github.com/dice-group/Palmetto/issues/13

https://github.com/dice-group/Palmetto/issues/76

按道理来说，这些一致性评分都是越高越好。这里是怎么回事呢？

coherence model的论文和代码原作者表示，是原实现代码的gamma值搞错了，应该设置为1而不是2：

https://github.com/dice-group/Palmetto/issues/81

但我发现，我电脑里的gensim（版本3.8.1），gamma本来就是1，因此负相关不完全是这个gamma的原因。

再进一步分析，当使用一份语料库C=[doc1,doc2...docN]作为参考文本，并且评价主题以从C抽取m个doc原文当作m个主题的话，这m个C_V值与其他指标是正相关的；

若从C的doc中的词汇[w_doc1_1,w_doc1_2,....w_docN_1,w_docN_2...]中随机抽取词汇并组成m个文档作为主题的话，这m个C_V值与其他指标是负相关的。

因此，C_V值的bug仍没有答案。

本人相关试验代码如下:

 #-*- coding: utf-8 -*-
import numpy as np
import pandas as pd
from gensim.corpora import Dictionary
from gensim.models import CoherenceModel

texts_oringinal=[['喜欢','电视机','声音','语音','简单' ],
['特别','色彩','投屏','好用','海信' ],
['性价比','高','流畅','挺快','正好' ],
['屏幕','音效','价格','实惠','音质' ],
['送货','太','到货','时间','一个月' ],
['遥控器','手机','想','下载','小孩' ],
['电视机','小米','家里','态度','简单' ],
['单','到货','做工','功能强大','精细' ],
['速度','运行','清晰','声音','流畅' ],
['速度','运行','画质','系统','售后服务' ],
['海信','品牌','值得','购买','信赖' ],
['东西','便宜','推荐','海信','真的' ],
['京东','挺','质量','物流','服务' ],
['挺','55','寸','大气','购买' ],
['性价比','高','寸','55','画面' ],
['性价比','高','感觉','客厅','语音' ],
['品牌','值得','没','信赖','下单' ],
['功能','合适','55','寸','漂亮' ],
['清晰','画面','没','服务态度','舒服' ],
['语音','识别','手机','海信','想' ],
['安装','快','师傅','物流','齐全' ],
['京东','清晰','55','寸','大气' ],
['京东','快','特别','物流','语音' ],
['买','海信','满意','品牌','值得' ],
['特别','合适','色彩','到货','还好' ],
['海信','品牌','大气','值得','挺' ],
['音质','遥控器','超值','边框','手机' ],
['送货','太','发货','时间','海信' ],
['特别','喜欢','电视机','小米','快递' ],
['东西','实惠','推荐','真的','海信' ],
['海信','品牌','合适','55','寸' ],
['清晰','特别','喜欢','画面','下单' ],
['速度','运行','功能','特别','合适' ],
['电视','质量','大气','小米','东西' ],
['电视','不错','买','满意','家里' ],
['安装','速度','运行','京东','清晰' ],
['价格','实惠','挺快','好用','海信' ],
['喜欢','感觉','语音','音质','画质' ],
['安装','运行','师傅','性价比','高' ],
['下单','音质','看着','速度快','舒服' ],
['不错','看着','操作','上网','蛮高' ],
['京东','售后服务','安装费','周到','太贵' ],
['合适','漂亮','同步','海信','师傅' ],
['快递','语音','赞','小哥','识别' ],
['不错','看着','美观','中','送' ],
['服务态度','快递','赞','操作','小哥' ],
['速度','运行','买','清晰','满意' ],
['东西','实惠','便宜','挺快','支持' ],
['买','满意','十二','双十','一买' ],
['挺','美观','中','试用','海信' ],
['买','海信','京东','满意','品牌' ],
['安装','快','到货','齐全','一个月' ],
['安装','快','挺','很快','送货' ],
['品牌','值得','没','信赖','送' ],
['舒服','海信','感觉','师傅','喜欢' ],
['品牌','值得','信赖','下单','速度快' ],
['安装','同步','快','师傅','服务' ],
['海信','品牌','送货','值得','服务态度' ],
['快递','赞','小哥','到货','一个月' ],
['送货','大气','高清','太','时间' ],
['画面','音质','操作','超值','上网' ],
['下单','看着','速度快','送到','小时' ],
['清晰','画质','系统','海信','同步' ],
['品牌','值得','没','信赖','拥有' ],
['价格','实惠','十二','双十','海信' ],
['服务','没','挺快','送','海信' ],
['京东','物流','支持','售后服务','安装费' ],
['性价比','高','正好','上网','海信' ],
['速度','运行','画质','支持','系统' ],
['电视','不错','清晰','很快','送货' ],
['电视','不错','快','很快','质量' ],
['物流','挺快','支持','国产','海信' ],
['性价比','高','大气','语音','高清' ],
['屏幕','音效','效果','功能','语音' ],
['画面','快递','舒服','操作','上网' ],
['速度','功能','很快','送货','合适' ],
['不错','清晰','画面','服务态度','便宜' ],
['清晰','挺','大气','画面','美观' ],
['电视','不错','清晰','质量','真的' ],
['外观','屏幕','外形','音效','效果' ],
['速度','运行','挺','音质','美观' ],
['京东','质量','服务','真的','小米' ],
['价格','小米','实惠','清晰度','做工' ],
['安装','快','齐全','海信','同步' ],
['服务态度','下单','速度快','送到','小时' ],
['外观','屏幕','外形','音效','尺寸' ],
['性价比','高','正好','遥控器','海信' ],
['功能','送货','合适','漂亮','太' ],
['价格','电视机','实惠','便宜','推荐' ],
['挺','大气','推荐','高清','超薄' ],
['功能','品牌','合适','值得','漂亮' ],
['买','满意','海信','喜欢','师傅' ],
['京东','服务','下单','速度快','送到' ],
['挺','大气','高清','超薄','朋友' ],
['买','满意','价格','实惠','好用' ],
['很快','送货','太','时间','海信' ],
['性价比','高','快递','赞','挺快' ],
['安装','不错','快','物流','服务' ],
['价格','电视机','清晰度','操作','海信' ],
['很快','发货','真的','海信','喜欢' ],
['特别','高','电视机','清晰度','色彩' ],
['没','东西','便宜','推荐','舒服' ],
['买','满意','电视机','清晰度','海信' ],
['买','满意','舒服','海信','喜欢' ],
['挺','画面','音质','超值','海信' ],
['买','满意','价格','海信','师傅' ],
['屏幕','音效','时尚','同步','海信' ],
['电视','大气','小米','高清','超薄' ],
['安装','服务','送到','同步','海信' ],
['安装','京东','服务','海信','同步' ],
['效果','功能','合适','漂亮','同步' ],
['快递','赞','小哥','送','海信' ],
['买','满意','性价比','高','挺快' ],
['清晰','很快','画面','服务态度','海信' ],
['电视','清晰','特别','质量','小米' ],
['不错','性价比','看着','海信','同步' ],
['京东','服务','送到','海信','师傅' ],
['速度','运行','系统','同步','海信' ],
['京东','很快','品牌','送货','物流' ],
['速度','运行','画质','系统','海信' ],
['电视','质量','小米','画质','海信' ],
['电视','速度','不错','运行','清晰' ],
['电视','质量','小米','画质','舒服' ],
['速度','运行','电视机','操作','系统' ],
['质量','快递','看着','赞','小哥' ],
['外观','速度','屏幕','外形','运行' ],
['海信','品牌','价格','值得','画面' ],
['安装','电视','不错','快','师傅' ],
['电视','不错','师傅','安装','挺' ],
['安装','京东','师傅','特别','55' ],
['功能','京东','快','合适','价格' ],
['外观','外形','效果','尺寸','大小' ],
['发货','真的','包装','喜欢','购物' ],
['外观','安装','屏幕','外形','音效' ],
['安装','外观','屏幕','外形','音效' ],
['电视','不错','师傅','很快','质量' ],
['买','京东','满意','质量','没' ],
['安装','快','师傅','服务','物流' ],
['电视','不错','海信','清晰','很快' ],
['电视','不错','京东','价格','高' ],
['电视','速度','不错','运行','功能' ],
['电视','买','不错','京东','满意' ],
['外观','外形','尺寸','大小','合适' ],
['电视','不错','安装','清晰','师傅' ],
['质量','发货','海信','喜欢','购物' ],
['电视','买','海信','京东','不错' ],
['电视','买','海信','不错','京东' ],
['安装','电视','外观','速度','不错' ],
['安装','外观','速度','屏幕','外形' ]]

topics_random_gen = [['高','购买','信赖','感觉','时间','品牌'],
['语音','性价比','色彩','舒服','55','小米'],
['漂亮','寸','太','下单','画面','流畅'],
['性价比','寸','家里','漂亮','小米','售后服务'],
['购买','音质','东西','音效','合适','快'],
['购买','画面','合适','清晰','时间','遥控器'],
['售后服务','挺快','送货','京东','小孩','品牌'],
['画质','发货','没','性价比','买','喜欢'],
['声音','京东','运行','便宜','发货','没'],
['物流','推荐','流畅','质量','时间','边框'],
['没','挺快','师傅','到货','功能','小米'],
['55','特别','海信','性价比','感觉','超值'],
['购买','寸','简单','到货','满意','高'],
['特别','速度','信赖','流畅','购买','安装'],
['下单','流畅','真的','大气','海信','画面'],
['边框','品牌','服务','速度','超值','京东'],
['推荐','品牌','没','系统','功能','遥控器'],
['送货','清晰','客厅','音效','品牌','快'],
['值得','色彩','师傅','京东','性价比','边框'],
['购买','小米','舒服','边框','信赖','小孩'],
['海信','高','画质','大气','流畅','性价比'],
['太','时间','屏幕','太','寸','东西'],
['真的','物流','时间','送货','家里','值得'],
['京东','边框','合适','挺','合适','单'],
['到货','遥控器','高','师傅','物流','信赖'],
['清晰','安装','遥控器','售后服务','值得','海信'],
['高','态度','家里','喜欢','品牌','寸'],
['东西','寸','购买','屏幕','55','流畅'],
['电视机','速度','到货','运行','正好','超值'],
['寸','下载','没','服务态度','漂亮','清晰'],
['运行','购买','超值','信赖','到货','真的'],
['手机','品牌','下单','质量','性价比','师傅'],
['特别','单','流畅','挺快','流畅','挺'],
['屏幕','品牌','感觉','单','太','海信'],
['信赖','京东','55','电视机','值得','精细'],
['55','售后服务','寸','正好','东西','语音'],
['性价比','精细','价格','东西','想','55'],
['寸','识别','电视机','单','简单','海信'],
['遥控器','语音','精细','到货','性价比','功能'],
['到货','发货','品牌','速度','画质','品牌'],
['下载','大气','京东','大气','发货','服务态度'],
['屏幕','音质','师傅','遥控器','时间','功能强大'],
['便宜','没','家里','高','大气','信赖'],
['55','信赖','画面','流畅','海信','信赖'],
['大气','55','送货','挺','大气','性价比'],
['画面','品牌','信赖','手机','特别','做工'],
['寸','便宜','简单','家里','超值','挺'],
['东西','运行','清晰','清晰','55','速度'],
['边框','功能','55','单','客厅','安装'],
['发货','电视机','55','东西','舒服','安装']]

dictionary = Dictionary(texts_oringinal)
corpus = [dictionary.doc2bow(text) for text in texts_oringinal]

def CalcTopicsCoherence(topics):
    def TimeInterval(oldtime,title=0):
        import time 
        newtime=time.time()
        if oldtime!=0: print('runtime:%.2f '%(newtime-oldtime),'epoch:',title)
        return newtime

    oldtime=TimeInterval(0,0)
    cm = CoherenceModel(topics=topics, texts=texts_oringinal, corpus=corpus, dictionary=dictionary, coherence='u_mass')
    um_per_topic=cm.get_coherence_per_topic()

    oldtime=TimeInterval(oldtime,1)
    cm = CoherenceModel(topics=topics, texts=texts_oringinal, corpus=corpus, dictionary=dictionary, coherence='c_v')
    cv_per_topic=cm.get_coherence_per_topic()

    oldtime=TimeInterval(oldtime,2)
    cm = CoherenceModel(topics=topics, texts=texts_oringinal, corpus=corpus, dictionary=dictionary, coherence='c_npmi')
    npmi_per_topic=cm.get_coherence_per_topic()
    oldtime=TimeInterval(oldtime,3)

    df=pd.DataFrame({'um_per_topic':um_per_topic, 'cv_per_topic':cv_per_topic, 'npmi_per_topic':npmi_per_topic})
    print(df.corr(method='pearson'))
    print(um_per_topic,'\r\n',cv_per_topic,'\r\n',npmi_per_topic,'\r\n','-'*50)

CalcTopicsCoherence(topics_random_gen[:20]) #从语料库的词汇中随机生成的主题,C_V与其他指标的相关系数为正
CalcTopicsCoherence(texts_oringinal[:20]) #选取语料库中的原文主题,C_V与其他指标的相关系数为负

输出：文章来源地址https://www.toymoban.com/news/detail-613422.html

runtime:0.01  epoch: 1
runtime:3.49  epoch: 2
runtime:3.53  epoch: 3
                um_per_topic  cv_per_topic  npmi_per_topic
um_per_topic        1.000000     -0.884551        0.953956
cv_per_topic       -0.884551      1.000000       -0.966621
npmi_per_topic      0.953956     -0.966621        1.000000
[-18.030818850592876, -19.96124768350553, -18.29369888330212, -19.79807445186273, -21.101291889114293, -22.798056221737987, -18.192781109642564, -16.860311176936268, -18.44424379356782, -22.803303726675036, -23.175034071477487, -12.810825131971544, -19.286110133059715, -16.94375792434263, -16.690851604860487, -18.02710535055957, -20.02344975905041, -19.99278670322441, -21.698322333920807, -20.923585006748453] 
 [0.3389389067816137, 0.431281975602297, 0.3674422968896512, 0.3966733053225968, 0.4917866905444382, 0.5186746463900184, 0.4313789571256576, 0.3665280003616685, 0.3985059297189733, 0.5274872294954075, 0.5493278858205343, 0.30087761674148544, 0.43520305335901227, 0.3159735251242886, 0.41835643869244316, 0.3550676349575879, 0.448333304772446, 0.48558113642552697, 0.5166065502073844, 0.42710622837914025] 
 [-0.42844506989015085, -0.57605385069818, -0.48069325924879436, -0.5366119026060397, -0.6491338826420106, -0.6834525940414914, -0.5160015097813477, -0.4589453644409164, -0.5285127403952131, -0.6801484918457561, -0.7244135030115759, -0.32737477662053427, -0.5510514496345167, -0.4459163155033948, -0.509918060993823, -0.4966680397031415, -0.5672662126460446, -0.6061891622217558, -0.6634268153854738, -0.5696880153701237] 
 --------------------------------------------------
runtime:0.00  epoch: 1
runtime:3.62  epoch: 2
runtime:3.27  epoch: 3
                um_per_topic  cv_per_topic  npmi_per_topic
um_per_topic        1.000000      0.651307        0.809497
cv_per_topic        0.651307      1.000000        0.921537
npmi_per_topic      0.809497      0.921537        1.000000
[-1.6834959356869081, -1.1391587993473093, -1.3144556967577616, -1.7764191224265908, -1.3163185370876616, -0.7690286019335767, -1.4909439897386998, -0.6214608096932192, -1.9908313422014132, -1.5323762523554092, -1.9143006417791681, -1.1124565823970336, -2.013459254388067, -1.58831502296492, -1.7607998993458875, -1.4324584647557403, -1.17720715932306, -1.3238166281603767, -1.8488733083366597, -1.5014800413044829] 
 [0.9013755297719085, 0.815612645547479, 0.9430729098574435, 0.7558335423509158, 0.9201412289391657, 0.9930641849960807, 0.953495279266701, 0.9894870807780484, 0.8643733749646201, 0.9108112958263026, 0.8229791160412301, 0.8063770756616547, 0.6899376493713196, 0.8901268468070889, 0.7554380623071679, 0.917056925774863, 0.9247470924640583, 0.894797418759549, 0.8036409474176587, 0.7913808166937562] 
 [0.42798799727914005, 0.394282112856397, 0.5429709421912378, 0.2865760657134665, 0.5576909598098418, 0.8191874243209375, 0.5860528527597575, 0.8146743184467546, 0.3963343983285269, 0.48591895449328826, 0.4013914956837736, 0.3728675105370157, 0.17510618486536106, 0.44436217437714953, 0.30915769940208715, 0.5074210537531371, 0.5242513932529766, 0.5020938969308087, 0.2833070075538354, 0.3761967647574803] 
 --------------------------------------------------

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