A buzz and e-reputation monitoring tool for Twitter based on Galois Lattices

Etienne Cuvelier (1) , Marie-Aude Aufaure (1)

1 MAS - Mathématiques Appliquées aux Systèmes - EA 4037

In the actual interconnected world, the speed of broadcasting of information leads the formation of opinions towards more and more immediacy. Big social networks, by allowing distribution, and therefore broadcasting of information in a almost instantaneous way, also speed up the formation of opinions concerning actuality. Then, these networks are great observatories of opinions and e-reputation. In this e-reputation monitoring task, it is easy to get a set of information (web pages, blog pages, tweets,...) containing a chosen word or a set of words ( a company name, a domain of interest,...), and then we can easily search for the most used words. But a harder, but more interesting task, is to track the set of jointly used words in this dataset, because this latter contains the more shared advice about the initial searched set of words. Precisely, the exhaustive discovering of the shared properties of a collection of objects is the main task of the Galois lattices used in the Formal Concept Analysis. In this a

Domaines: Machine Learning [stat.ML]

Etienne Cuvelier, Marie-Aude Aufaure. A buzz and e-reputation monitoring tool for Twitter based on Galois Lattices. Conceptual Structures for Discovering Knowledge - 19th International Conference on Conceptual Structures, ICCS 2011, Derby, UK, July 25-29, 2011. Proceedings, Jul 2011, Derby, United Kingdom. pp.91-103. ⟨hal-00703101⟩