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Conference Papers Year : 2016

Improving Opinion Target Identification through Twitter Using Public Conversations

Abstract

In this paper, we propose a new method for opinion target identification based on twitter conversations rather than simple individual tweets. We employ conversation interactions to effectively extract the different target features using a product review corpus involving smart-phones and other electronics products. Experimental evaluations show that our proposed method is efficient and contributes to improving system performance.
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Dates and versions

hal-01419210 , version 1 (23-12-2016)

Identifiers

  • HAL Id : hal-01419210 , version 1

Cite

Rania Othman, Rami Belkaroui, Rim Faiz. Improving Opinion Target Identification through Twitter Using Public Conversations. 24th Italian Symposium on Advanced Database Systems SEBD, Jun 2016, Ugento, Lecce, Italy. ⟨hal-01419210⟩
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