Named entity recognition service for Twitter data. Identifies person, location, organization etc. and also performs normalization of abbreviations and common shorthands (such as...

This is the new improved version of the GATE Cloud platform originally launched in 2011 to provide end-to-end text processing solutions from the GATE family running on cloud...

A collection of methods (relying on the scikit-mobility and OSMnx Python libraries) to compute emissions starting from vehicles' mobility trajectories. In particular, methods...

This dataset contains the Twitter tweet_ids from the Timelines of 584 members of British Parliament (collected between 4th and 6th of March 2022). The users are identified from...

MARLENA is novel technique able to explain the reasons behind any black-box multi-label classifier decision. It will generate an explanation in the form of a decision rule....

This method annotates tokens and sentences in English texts, adding part-of-speech, morphological root and affix to each token.

This method is the German tokeniser, sentence splitter and POS tagger from Apache OpenNLP.

A service that tags abusive utterances in any text with the type of abuse (sexist, racist, etc.) and whether the abuse was aimed at the addressee or some other party. This can...

This method is a named entity recognition service for documents in French. Based on ANNIE, it identifies names of persons, locations, and organizations.

This method is the Dutch tokeniser, sentence splitter, POS tagger, phrase chunker and named-entity recogniser from Apache OpenNLP.

Background – This study aimed to analyse the relationship of regional and whole body morphology to vertical jump performance and to compare the morphological features outlining...

This tool identifies words and punctuations in tweets.

This is a Service to identify the languages of tweets.

The DecarboNet environmental annotation service identifies named entities, environmental terms, and sentiment in social media texts in German language.

TAGME identifies meaningful sequences of terms in an unstructured text and links them to the Wikipedia page describing the mentioned entity, in a fast and effective way. This...

The aim of this study was to investigate whether volleyball-specific skills, physical performance, and general cognitive functions differ between players of different...

The DebtRank algorithm is used to estimate the impact of shocks in financial networks, as it overcomes the limitations of the traditional default-cascade approaches.The method...

Deep Gravity is an effective model to generate flow probabilities that exploits many features (e.g., land use, road network, transport, food, health facilities) extracted from...

We conducted experiments on mobility flows in England, Italy, and New York State to show that Deep Gravity achieves a significant increase in performance, especially in...