Mining Tweet Data - Statistic and Semantic Information for Political Tweet Classification

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Guillaume Tisserant, Mathieu Roche, Violaine Prince

Published: 2014, Last Modified: 04 Oct 2025KDIR 2014EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: This paper deals with the quality of textual features in messages in order to classify tweets. The aim of our study is to show how improving the representation of textual data affects the performance of learning algorithms. We will first introduce our method YYYYY. It generalises less relevant words for tweet classification. Secondly we compare and discuss the types of textual features given by different approaches. More precisely we discuss the semantic specificity of textual features, e.g. Named Entity, HashTag.