This tool identifies words and punctuations in tweets.

This is a Service to identify the languages of tweets.

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

This resource is a segregation discovery method from both tabular and social network data.

This report is based on an empirical case study on content moderation, whose objective is to interrogate whether content moderation can be reclaimed by users as a practice...

The program is intended for calculating semantic distances between input texts. As a commandline script it takes a list of tab-separated text pairs (line-per-pair) and returns...

This method allows the annotation of named entities (person, location, organization, date) as well as the numbers and measurement expressions. Default Annotations are: Address,...

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

Classifies short texts such as Tweets based on whether they contain offensive language

Leader Detect is an algorithm that takes as input a social network and a table of actions performed by the people in the social networks and returns for each action the list...