This is a workflow that is designed especially for use in the UIMA-based U-Compare workbench (see separate META-SHARE record). The workflow is in "ucz" format (specific to U-Compare) and can be imported via the "Import Workflow" item in the "Workflows" menu of the U-Compare interface. It include...
An Arabic twitter data set of 7,503 tweets. The released data contains manual Sentiment Analysis annotations as well as automatically extracted features, saved in Comma Separated (CSV) and Attribute-Relation File Format (ARFF) file formats. Due to twitter privacy restrictions we replaced the orig...
The U-Compare Workbench is a graphical user interface that operates on top of the U-Compare platform. The U-Compare platform allows users to build and evaluate NLP workflows. Workflows consist of one or more components, consisting of corpus readers and tools, such as tokenisers, POS taggers, name...
The purpose of the U-Compare platform is to facilitate easy and rapid development and evaluation of NLP and text mining systems. It includes utilities (including a graphical user interface, the U-Compare workbench, see separate record in META-SHARE) to create workflows from individual, interopera...
Web service created by exporting UIMA-based workflow from the U-Compare text mining system. Functionality: Identifies paragraphs in plain text Tools in workflow: MLRS Paragraph Splitter (University of Malta) NOTE: The licence provided covers the web service only. Tools used to create the workf...
Conta-me Histórias [http://contamehistorias.pt] is a temporal summarization framework of news articles that allows users to explore and revisit events in the past. To select relevant stories of different time-periods, we rely on YAKE! [http://yake.inesctec.pt] a keyword extraction algorithm devel...
Yake! (Campos et al. 2020) is a novel feature-based system for multi-lingual keyword extraction, which supports texts of different sizes, domain or languages. Unlike most of the systems, Yake! does not rely on dictionaries nor thesauri, neither is trained against any corpora. Instead, we follow a...