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160_statuses.tgz 160个用户的微薄文件(一个用户一个) 每个文件一行一条微薄,按时间顺序降序排,第1行为最新的 .seg是该用户微薄分词后的文件 .id是分词文件对应的单词的编号 word_id.txt 单词与单词编号映射 sample_data有一个例子 分词时 @xxx [xxx] // 我当成一个词了 id_word_count.txt.sort wid w DF UF 其中DF是doc frequence,我把一条微薄当作一个doc 其中UF是user frequence 单词总数 280469 要去掉一些DF,UF很大/小的单词吧
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