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A Python package to process and represent events from ontologies and semi-structured databases such as Wikidata and Wikipedia.

Python framework to identify and rank crisis-related tweets based on their informativeness.

This software enables to damage texts written in any natural language by applying OCR degradation (phantom characters, character degradation, etc.) and by over-segmenting texts (this means splitting regularly the texts in equal parts).

This is useful to reproduce common errors found in historical documents when historical data is missing.

Requests to collect documents relating real-world events (themselves described using wikivents) stored in a global index (provided by database_infrastructure_text_mining).

Tools to manipulate PARES dataset, images, annotations and connect to ArkIndex

Command Line Tools to manipulate the document_tracking architecture. It allows to train the Miranda algorithm, to use it and the alternative one, the K-Means implementation. It also provides a tool to evaluate the results.