Code and description of the methodology of the paper "Rebalancing Social Feed to Minimize Polarization and Disagreement" funded by SoBigData ++

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

The "Digital DNA fingerprinting" is a spambot detection technique based on the "Digital DNA" online behavioral modeling technique. Given a set of Twitter user timelines, it is...

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,...

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

A machine learning classifier trained to categorise claims about COVID-19 into 10 categories proposed by the Reuters Institute for the Study of Journalism - Public authority...

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

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

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...

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...

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...

https://github.com/HPAI-BSC/ephemerality Code for calculating the ephemerality metrics that can be used to estimate how "ephemeral" discussion topics are based on their...

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

This code contains two Mathematica notebooks to find the polarizing opinion vectors given the social graph and the nodes’ susceptibility. The notebooks have to be saved in the...

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...

Algorithms that tackle the problem of minimizing average/maximum hitting time (BMAH/BMMH) between different social network groups, given fixed shortcut edges. The...

A machine learning classifier trained to categorise text about COVID-19 vaccines into 6 categories - Liberty or Freedom; Development, Provision and Access; Safety, Efficacy...

Base Noun Phrase Chunker, producing NounChunk annotations.

The CYMRIE named entity recognition is a service for the analysis of Welsh text. It identifies name of persons, locations, organizations, as well as money amounts, time and...

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