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.

TAGME identifies meaningful sequences of terms in an unstructured text and links them to the Wikipedia page describing the mentioned entity, in a fast and effective way. This...

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