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This study aims at retrieving tweets with an implicit topic, which cannot be identified by the current query-matching system employed by Twitter. Such tweets are relevant to a given query but do not explicitly contain the term. When these tweets are combined with a relevant tweet containing the overt keyword, the “serialized” tweets can be integrated into(More)
This paper proposes a keyword extraction process, based on the PageRank algorithm, to reduce noise of input data for measuring semantic similarity. This paper will introduce several features related to implementation and discuss their effects. It will also discuss experimental results which showed significantly improved document retrieval performance with(More)
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