doc-type doc-type type of the document tweet / webpage 1. labels generated by LDA model Signed,students; label-list 2. extract the top two labels from each today,register; april,thanks; topic community,little tweet-topic each value presents the probability of the 0.29112; 0.01820; 0.12435; 0.02572; probability-list tweet belongs to a certain topic 0.54058 cluster-label label of the tweet’s cluster NAACP stories tweet-cluster doc-probability the probability of the doc in the cluster 0.55167194
doc-type doc-type type of the document tweet / webpage tweet-topic label-list 1. labels generated by LDA model 2. extract the top two labels from each topic Signed,students; today,register; april,thanks; community,little probability-list each value presents the probability of the tweet belongs to a certain topic 0.29112; 0.01820; 0.12435; 0.02572; 0.54058 tweet-cluster cluster-label label of the tweet’s cluster NAACP stories doc-probability the probability of the doc in the cluster 0.55167194
SOLR_Report.docx