Conference Proceedings

Trendminer: An architecture for real time analysis of social media text

D Preoţiuc-Pietro, S Samangooei, T Cohn, N Gibbins, M Niranjan

Proceedings of the Sixth International AAAI Conference on Weblogs and Social Media | Published : 2012

Abstract

The emergence of online social networks (OSNs) and the accompanying availability of large amounts of data, pose a number of new natural language processing (NLP) and computational challenges. Data from OSNs is different to data from traditional sources (e.g. newswire). The texts are short, noisy and conversational. Another important issue is that data occurs in a real-time streams, needing immediate analysis that is grounded in time and context. In this paper we describe a new open-source framework for efficient text processing of streaming OSN data (available at www.trendminer-project.eu). Whilst researchers have made progress in adapting or creating text analysis tools for OSN data, a syst..

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