# douban-movie-
🌞🌈豆瓣电影短评数据挖掘与情感分析，爬取票房和评分榜单以及短评共20w+，数据清洗特征工程，评分预测，和短评二极性分类
# data
存的是电影评分榜单和票房榜单电影的数据和短评数据
# data cleaning
啥电影信息清洗，分析，特征工程建模的脚本
# douban_moive
爬虫工程，有自动登录和应对反爬
Python毕业设计-豆瓣电影短评数据挖掘与情感分析项目源码（高分项目） （119个子文件） 
jupyter(datamining).bat 86B scrapy.cfg 267B comment_test 27.88MB temp_filem_ML.csv 46.71MB cutclean_label_corpus10000.csv 41.27MB movies_piaofang.csv 392KB movies_pingfen.csv 315KB rnn_loss.csv 2KB cnn_loss.csv 32B .gitignore 176B .gitignore 176B douban_movie.iml 330B data cleaning.iml 330B Filting.ipynb 1.11MB Filting-checkpoint.ipynb 1.11MB dataclean.ipynb 576KB dataclean-checkpoint.ipynb 492KB comment_project.ipynb 441KB comment_project-checkpoint.ipynb 396KB rating_pre-checkpoint.ipynb 188KB rating_pre.ipynb 103KB test_lan.ipynb 96KB attention-checkpoint.ipynb 16KB ML_qgfx.ipynb 11KB TextCNN.ipynb 4KB test_lan-checkpoint.ipynb 72B TextCNN-checkpoint.ipynb 72B ML_qgfx-checkpoint.ipynb 72B movie_comment140.json 12.51MB movie_comment110.json 12.05MB movie_comment200.json 11.6MB movie_comment170.json 11.3MB movie_comment230.json 11.21MB movie_comment200.json 8.84MB movie_comment40.json 8.82MB movie_comment80.json 8.8MB movie_comment120.json 8.71MB movie_comment140.json 8.68MB movie_comment160.json 8.66MB movie_comment40.json 8.6MB movie_comment225.json 8.49MB movie_comment180.json 8.49MB movie_comment80.json 8.48MB movie_comment250.json 8.47MB movie_comment100.json 8.42MB movie_comment60.json 8.37MB movie_comment2.json 8.37MB movie_comment20.json 8.37MB movie_comment20.json 7.78MB movie_comment250.json 7.58MB movie_comment60.json 6.07MB movie_people15000.json 1.95MB movie_people5000.json 1.88MB movie_people10000.json 1.66MB movie_people20000.json 1.63MB movie_people30000.json 1.44MB movie_people35000.json 1.25MB movie_people25000.json 1.24MB movie_people40000.json 1.04MB movie_item.json 580KB movie_people1.json 562KB movie_item.json 450KB movie_Xpeople1040.json 399KB movie_item.json 367KB dbCookies.json 2KB movie_people.json 116B movie_item1.json 0B README.md 415B word2vec_modle.trainables.syn1.npy 55.26MB word2vec_modle.wv.vectors.npy 55.26MB word2vec_modle.trainables.syn1neg.npy 55.26MB movie_comment_spider20.py 7KB movie_item.py 7KB dltest.py 6KB middlewares.py 4KB load.py 4KB settings.py 3KB movie_people_spider.py 3KB items.py 2KB test.py 2KB pipelines.py 1KB dns_cache.py 768B __init__.py 161B run.py 78B __init__.py 0B movie_item.cpython-36.pyc 5KB movie_comment_spider20.cpython-36.pyc 5KB load.cpython-36.pyc 3KB movie_people_spider.cpython-36.pyc 3KB pipelines.cpython-36.pyc 2KB test.cpython-36.pyc 2KB items.cpython-36.pyc 1KB dns_cache.cpython-36.pyc 540B settings.cpython-36.pyc 449B __init__.cpython-36.pyc 143B __init__.cpython-36.pyc 135B top_movie_id 2KB top_people_url 2.38MB simhei.ttf 9.58MB
cutclean_label_corpus10000.txt 41.25MB共 119 条
- 1
- 2
资源评论
