Sentiment
=========
基于情感词典和朴素贝叶斯算法实现中文文本情感分类
#说明
>程序分为两部分
>Sentiment.java为训练模型
>Sentiment_Test.java为文本分类
>500trainblogxml为训练语料(样例)
>Sentiment_Dictionary为台湾大学情感词典，在训练模型时进行情感词筛选用到
>模型训练结果保存在NegativeModel.txt PositiveModel.txt UnsureModel.txt
>文本分类程序在初始会读取模型, 依据朴素贝叶斯算法进行文本分类
基于情感词典和朴素贝叶斯算法实现中文文本情感分类.zip （162个子文件） 
.gitignore 189B Sentiment_Test.java 8KB Sentiment.java 8KB README.md 515B
N-38.txt 8.48MB N-61.txt 4.27MB N-60.txt 3.88MB N-62.txt 3.02MB N-71.txt 2.53MB N-72.txt 2.35MB N-36.txt 1.48MB N-37.txt 1.37MB N-134.txt 1.1MB N-150.txt 1.06MB N-34.txt 767KB N-4.txt 608KB N-33.txt 579KB N-75.txt 575KB N-41.txt 575KB N-40.txt 569KB N-73.txt 569KB N-42.txt 551KB N-133.txt 530KB N-39.txt 530KB N-96.txt 517KB N-136.txt 516KB N-3.txt 515KB N-132.txt 512KB N-43.txt 510KB N-76.txt 494KB N-74.txt 472KB N-77.txt 470KB N-78.txt 452KB N-79.txt 441KB N-22.txt 435KB N-16.txt 376KB N-67.txt 369KB N-18.txt 357KB N-15.txt 355KB P-1.txt 354KB N-109.txt 347KB N-83.txt 344KB N-44.txt 343KB N-25.txt 339KB N-21.txt 336KB N-99.txt 334KB N-64.txt 332KB N-17.txt 326KB N-139.txt 325KB N-55.txt 321KB N-19.txt 318KB N-82.txt 315KB N-47.txt 314KB N-70.txt 313KB N-20.txt 313KB N-81.txt 303KB N-142.txt 302KB N-23.txt 301KB N-49.txt 290KB N-110.txt 286KB N-31.txt 283KB N-80.txt 275KB N-144.txt 271KB N-32.txt 269KB N-145.txt 258KB N-51.txt 255KB N-63.txt 255KB N-66.txt 252KB N-146.txt 249KB N-91.txt 248KB N-112.txt 248KB N-111.txt 244KB N-100.txt 243KB N-135.txt 243KB N-137.txt 240KB N-106.txt 238KB N-105.txt 237KB N-84.txt 236KB N-138.txt 236KB N-50.txt 236KB N-86.txt 236KB N-93.txt 234KB N-141.txt 234KB N-90.txt 234KB N-89.txt 232KB N-104.txt 230KB N-92.txt 229KB N-88.txt 228KB N-53.txt 228KB N-87.txt 228KB N-59.txt 227KB N-10.txt 226KB N-58.txt 220KB N-98.txt 218KB N-94.txt 217KB N-54.txt 214KB N-147.txt 213KB N-26.txt 213KB N-97.txt 206KB N-52.txt 206KB共 162 条
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