The dataset contais 794 tweets annotated with named entities disambiguated against DBpedia, and split into equally sized training and test portions. 400 tweets from 2013 comes...

The dataset consists of all the content from the .de top level domain as crawled by the Internet Archive.

A list of Twitter users for whom party political allegiance/vote intent has been established.

Online interactions between users via the wall feature in the New Orleans regional network.

The dataset was collected by the Archive team through the Twitter Streaming API which provides free access to 1% of public tweets. The covered time period is from January 1st...

LiveJournal is a free on-line blogging community where users declare friendship each other. LiveJournal also allows users form a group which other members can then join. We...

The ClueWeb09 dataset consists of about 1 billion web pages in ten languages that were collected in January and February 2009. It was created to support research on...

The dataset consists of the 10% of the daily stream of tweets produced on Twitter filtered into 3 subsets: English, Italian, geo-referenced. The tweets are a random sample of...

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...

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...

.ee Web archive consisting of snapshots from 2015

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...

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...