estnltk / ner-tagger

Ner-tagger

Ner-tagger is a web tool which helps linguists manually categorise entities in text. It has been developed specifically for an annotation of named entities, where the task it to categorise proper names into a number of semantic types. The tool, however, can be easily customised for annotation tasks alike.

Features

• Ner-tagger allows to run multiple annotation projects simultaneously,
• supports multiple users,
• comes with an administrative interface to monitor annotation process.

Use cases

One might find ner-tagger useful for the following annotation tasks:

• Named entity recognition, where the task is to classify proper names into categories of interest.
• Sentiment analysis to annotate polarity of adjectives.

Installation

See detailed installation instructions.

Screenshots

The main page lists corpora assigned to a current user:

Once a user picks a corpus to annotate, he is forwarded to the annotation page:

Administration interface enables to monitor annotation progress: