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The Java software Discourse Network Analyzer (DNA) is a qualitative content analysis tool with network export facilities. You import text files and annotate statements that persons or organizations make, and the program will return network matrices of actors connected by shared concepts.
This tool allows the user to annotate by coloring portions of the text. This can be seen as a simple model of annotation. This tool has been built to complete particular experimentation on student behavior (annotation per example) facing particularly difficult content. We put it here as an open-source project.
Knowtator is a general-purpose text annotation tool that is integrated with the Protégé knowledge representation system. Knowtator facilitates the manual creation of training and evaluation corpora for a variety of biomedical language processing tasks.
DBpedia Spotlight is a tool for annotating mentions of DBpedia resources in natural language text.
The source code is now hosted on GitHub: https://github.com/dbpedia-spotlight
A GUI-based text annotation tool for creating and visualizing annotations. It uses a flexible stand-off XML data format, and has advanced and customizable methods for information and relation visualization.
Text annotation application (Tapp) is a stand alone software component that facilitates the quick annotation of text files for the purpose of creating labelled data for training, testing, and deploying machine learning models
PDF Annot is a piece of software that enables you to add audio and text annotation to a PDF. It uses JPedal SimpleViewer and iText library. Annotations are supported by Adobe'sofficial PDF Reader. Report any bug here: krakosia[at]gmail.com
The Text Annotation Environment (tae) can be used to annotate natural language text manually or automatically (UIMA Annotator) with meta information (tokens, part-of-speech, named entities, ...). Tae is based on Eclipse and IBM's UIMA.
Total Network Visibility for Network Engineers and IT Managers
Network monitoring and troubleshooting is hard. TotalView makes it easy.
This means every device on your network, and every interface on every device is automatically analyzed for performance, errors, QoS, and configuration.