A buzz and e-reputation monitoring tool for twitter based on galois lattices

摘要: In the actual interconnected world, speed of broadcasting information leads formation opinions towards more and immediacy. Big social networks, by allowing distribution, therefore in a almost instantaneous way, also up concerning actuality. Then, these networks are great observatories e-reputation. this e-reputation monitoring task, it is easy to get set (web pages, blog tweets,...) containing chosen word or words ( company name, domain interest,...), then we can easily search for most used words. But harder, but interesting track jointly dataset, because latter contains shared advice about initial searched Precisely, exhaustive discovering properties collection objects main task Galois lattices Formal Concept Analysis. article state clearly characteristics, advantages constraints one successful online networks: Twitter. Then detail difficult tracking, on Twitter, forwarded subject. We explain how characteristics permit solve elegantly efficiently problem. But, retrieving corpus not enough, have show results an informative readable manner, which when result Lattice. propose visualisation called topigraphic network tags, represent tag cloud concepts with topographic allegory, permits visualise important found given