Datasets of word network topic model

Abstract: This dataset holds the content of one day's micro-blogs sampled from Weibo(http://weibo.com) in the form of bags-of-words.<br>-----------------------------------------------------<br>Data Set Characteristics: TextNumber of Micro-blogs:189,223Total Number of Words:3,252,492Size of the Vocabulary:20,942Associated Tasks: short text topic modeling and etc.<br>-----------------------------------------------------<br>About Preprocessing<br>For tokenization, we use NLPIR. Stop words and those with term-frequence less than 20 were removed. Besides,words contain only one chinese-character were also removed.<br>-----------------------------------------------------<br>Data Format<br>The format of released data is setted as follows:<br>[document_1][document_2]...[document_M]<br>in which each line is one document. [document_i] is the ith document of the dataset that consists of a list of Ni words/terms.<br>[document_i] = [word_i1] [word_i2] ... [word_iNi]<br>in which all [word_ij] (i=1..M, j=1..Ni) are text strings and they are separated by the blank character.<br>-----------------------------------------------------<br>If you have any questions about the data set, please contact: [e-mail].