Discovering Context: Classifying Tweets through a Semantic Transform Based on Wikipedia (original) (raw)

Lecture Notes in Computer Science, 2011

Abstract

By mapping messages into a large context, we can compute the distances between them, and then classify them. We test this conjecture on Twitter messages: Messages are mapped onto their most similar Wikipedia pages, and the distances between pages are used as a proxy for the distances between messages. This technique yields more accurate classification of a set of Twitter

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