Mitaka
Mitaka is an open source annotation tool designed to annotate text sequences and visualize them together with their tags. It provides an intuitive interface for adding labels to text spans such as named entities, categories and relationships. It can be useful for data annotation
open-source
annotation-tool
text-annotation
named-entity-recognition
document-classification
Mitaka: Open Source Annotation Tool
Mitaka is an open source annotation tool designed to annotate text sequences and visualize them together with their tags. It provides an intuitive interface for adding labels to text spans such as named entities, categories and relationships. It can be useful for data annotation and document classification projects.
What is Mitaka?
Mitaka is an open-source software application developed for annotating textual data. It is useful for labeling spans of texts such as named entities, emotions, relationships between words/phrases within text sequences.
Mitaka provides an intuitive graphical interface for annotating text. It allows users to highlighting words and phrases in a document and label them based on pre-defined categories such as person, location, organization etc. These annotations can then be exported for use in natural language processing and machine learning projects.
Some key features of Mitaka include:
- Ability to create custom categories and labels for annotations
- When you highlight text, suggested annotations appear as clickable tags
- Real-time preview of annotations on the document
- Project management capabilities for collaboration
- Export options for annotated data in JSON/XML formats
- Integration with natural language processing libraries like spaCy
Mitaka runs on all major operating systems such as Windows, Mac OS X and Linux. The open-source nature also means it can be customized to meet specific use cases. Overall, Mitaka is an efficient tool for those working on text annotation and classification tasks.
Mitaka Features
Features
- Text annotation
- Entity recognition
- Relationship extraction
- Document classification
- Data labeling
- Visualization of annotations
- Collaboration tools
- REST API
Pricing
- Open Source
Pros
Open source
Intuitive interface
Built-in entity recognition
Collaboration features
Visualizations
REST API for integration
Active community support
Cons
Limited built-in entity types
No active learning features
No model training capabilities
Lacks some advanced NLP features
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