This course is an introduction to data collection, data preparation & transformation and data analysis. It contains the essential concepts for a researcher in order to...

Spambots are automated accounts (i.e., accounts driven by a bot) that repeatedly advertise unsolicited and often harmful content (e.g., malware, URLs to phishing Web sites,...

The Broad Twitter Corpus is a named entity-annotated dataset of tweets, collected in order to capture temporal, spatial and social diversity. The goal of the corpus is to...

We introduce a gene-specific regularization factor when computing the Partial Correlation score to make the indeterminate regression feasible. We decided to slightly modify...

Fake followers are fake accounts massively created to follow a target account and that can be bought from online markets. In other words, their goal is that of increasing the...

The dataset contains twitter posts about two premier UK music festivals: Creamfields 2016 (on August 25th-28th) and VFestival 2016 (on August 20th-21st).

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

This python library implements the discrimination discovery and prevention method proposed in the paper: “A methodology for direct and indirect discrimination prevention in...

SWAT is a entity-salience system which identifies on-the-fly the semantic focus of a document, expressed by its Salient Wikipedia Entities. The core of this technology 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.

WAT is an entity linker, namely a tool that identifies meaningful substrings (called "spots") in an unstructured English text and link each of them to the unambiguous entity...

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

TRIPLEX is an explainability package for Transformer-based models fine-tuned on Natural Language Inference, Semantic Text Similarity, or Text Classification tasks. TRIPLEX...

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...

GSP receives a text document as input and returns an enriched document, where all mentions of places/locations are associated to the corresponding geographic coordinates. To...

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

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...