Look up entities found by TAGME in Wikidata and extract geographical information.

Classifies short texts such as Wikipedia comments based on whether they contain toxic language

TILES: an algorithm for community discovery in dynamic social networks

The SUMMA Text Summarization (EN) uses the SUMMA toolkit developed by Horacio Saggion to provide a generic English document summarizer.

English named entity recognition service. Identifies names of persons, locations, organizations, as well as money amounts, time and date expressions

This method provides an iterative classification of users and keywords in Digital traces of conversations in micro-blogging platforms and in OSNs. The method identifies...

This method recognises opinionated sentences in English text and it classifies them as positive or negative.It also indicates emotion type, author and target of the opinion,...

Attempts to classify whether a text is hyper-partisan or not. This system won first prize in the Hyperpartisan News Detection task at SemEval 2019

Service that takes two news article texts and attempts to determine whether they refer to the same underlying news story. The articles may be in the same or in different...

Service that uses optical character recognition (OCR) to identify text contained within images. This is a multi-lingual service and not restricted to Latin scripts. It works...

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...

Service that processes threads of short texts such as tweets or forum postings and attempts to determine the stance (support, deny, question or comment) of each reply towards...

This method analyses French tweets for names of persons, locations and organizations. It also performs normalization of abbreviations and common Twitter slang.

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

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

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.