ORMA: A semi-automatic tool for online reputation monitoring in twitter

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Abstract

We present a semi-automatic tool that assists experts in their daily work of monitoring the reputation of entities - companies, organizations or public figures - in Twitter. The tool automatically annotates tweets for relevance (Is the tweet about the entity?), reputational polarity (Does the tweet convey positive or negative implications for the reputation of the entity?), groups tweets in topics and display topics in decreasing order of relevance from a reputational perspective. The interface helps the user to understand the content being analyzed and also to produce a manually annotated version of the data starting from the output of the automatic annotation processes. A demo is available at: http://nlp.uned.es/orma/ © 2014 Springer International Publishing Switzerland.

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Carrillo-De-Albornoz, J., Amigó, E., Spina, D., & Gonzalo, J. (2014). ORMA: A semi-automatic tool for online reputation monitoring in twitter. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8416 LNCS, pp. 742–745). Springer Verlag. https://doi.org/10.1007/978-3-319-06028-6_86

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