A Document Repository for Social Media and Speech Conversations

Adam Funk (1) , Robert Gaizauskas (1) , Benoit Favre (2)

1 University of Sheffield [Sheffield]
2 LIF - Laboratoire d'informatique Fondamentale de Marseille

We present a successfully implemented document repository REST service for flexible SCRUD (search, create, read, update, delete) storage of social media and speech conversations, using a GATE/TIPSTER-like document object model and providing a query language for document features. This software is currently being used in the SENSEI research project and will be published as open-source software before the project ends. It is, to the best of our knowledge, the first freely available, general purpose data repository to support large-scale multimodal (i.e., speech or text) conversation analytics.

Keywords: Document repository; social media; REST service

Domains: Computer Science [cs]; Computer Science [cs]; Artificial Intelligence [cs.AI]; Computer Science [cs]; Machine Learning [cs.LG]; Computer Science [cs]; Computation and Language [cs.CL]

Adam Funk, Robert Gaizauskas, Benoit Favre. A Document Repository for Social Media and Speech Conversations. Language Resources and Evaluation Conference (LREC), 2016, Unknown, Unknown Region. ⟨hal-01454924⟩