Exploratory analysis of textual data streams

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• 作者：Silvana Castano ^{silvana.castano@unimi.it} Author Vitae ; Alfio Ferrara ; ^{alfio.ferrara@unimi.it} ; Author Vitae ; Stefano Montanelli ^{stefano.montanelli@unimi.it} Author Vitae
• 关键词：Clustering ; Textual data stream ; Exploratory analysis ; Topic evolution ; Detection of emergent topics
• 刊名：Future Generation Computer Systems
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：68
• 期：Complete
• 页码：391-406
• 全文大小：1923 K
• 卷排序：68

文摘

Exploratory analysis of textual data streams is addressed. Documents are classified into fine-grained similarity clusters. Similar clusters are aggregated into larger topics. Newly extracted topics are linked with similar topics of different time windows. Thematic analysis of topics and topic trends in time is supported.