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

This method analyses German tweets for names of persons, locations and organizations. It also performs normalization of abbreviations and commonTwitter slang.

This is a Service to identify the languages of tweets.

Base Noun Phrase Chunker, producing NounChunk annotations.

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

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

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

This service tags tweets with part-of-speech information, e.g. nouns and verbs.

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

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

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

This method extracts event-centric collections of Web Archives through a focused crawling method. The key of this method is to adapt focused Web crawling to previously collected...

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

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

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

Annotates numbers and measurement expressions in text. This method recognises many types of measurements including length, temperature, time and speed, and calculates their...

A pipeline designed to detect political topics, hashtags, URLs, user mention, and hashtag-based voting intentions, expressed in tweets about the UK referendum on membership of...

User generated content such as tweets often make claims that are unsubstantiated and possibly untrue. This service attempts to classify whether a text is discussing a rumour...

Service that takes a list of URLs and assigns to each information on what multiple organisations who analyse the credibility of online content have said about the domain (or...

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...