Big data, new mobile phone interfaces, simulation and databases are source of huge production of texts.
Even if text processing is not new, and computational linguistics proposed lots of interesting analytical frameworks, we face to new challenges.

First challenge is practices of humanities and social scientists with new computing tools and data that come from the digital world and in particular to consider research objects (ie documents, entities, models, knowledge, rules, meta-data ...). In most humanities and social sciences (HSS) disciplines the ground, practices and situations are strong frameworks.

Second challenge is the case of social media information. The popularity and generation of social media data is confusing. It becomes a field of experimentation in the light of social science and communication theories such as the treatment of false information, e-democracy or citizen behavior.

TOPICS OF INTEREST

* Machine Learning, Multivariate Data Analysis, Link and Network Analysis, Natural Language Processing, Information Retrieval, Big Data, Smart Data, Feature Selection, Knowledge Visualization, Complex Corpora, Curating Data, Multiparadigm Data Science Workflow, Sentiment Analysis, Recommendation Systems
* Psychology , Sociology, History, Archaeology, Communication and Social Media, Digital Libraries, Literary Studies, Cultural and Heritage Studies, Didactics, Business Intelligence, Linguistics, Political Science, Cartography , Demography
* Textual Data, Open data, Crowdsourcing
* Text analysis and mining with applications to health and wellness, smart cities, energy, transport, environment, food, migration issues


A short list of presented papers will be selected so that revised and extended versions of these papers will be published by JDMDH open access journal (https://jdmdh.episciences.org).