Identifying Multiple Topics in Texts

In this paper, we present an innovative method for multi-label text classification. Our method uses Lucene to index texts and then assigns one or more classes to a new text based on its similarity relative to an annotated corpus. For finer granularity, we split the text into phrases, and then we focus on the noun phrases. Instead of classifying the entire text, we classify each noun phrase. The result of classifying the text is then assembled as the set of classes allocated to its noun phrases.