[detailed use of doccano data annotation]

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Preface

Doccano Is an open source text annotation tool for human . It classifies text 、 Sequence annotation and sequence provide annotation function for sequence tasks . therefore , You can create tag data for emotional analysis , Named entity recognition , Text summary, etc . Just create a project , Upload data and start commenting . You can build a data set in a few hours .

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` The following is the main body of this article , The following cases can be used for reference

One 、Doccano Data tagging

• You can try the annotation demo.

If in doubt ：

• Read the documentation at the https://doccano.github.io/doccano/.

Usage

Three options to run doccano:

• pip (Python 3.8+)
• Docker
• Docker Compose

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• document classification Text classification
• sequence labeling Sequence annotation , Used for named entity recognition
• sequence to sequence seq2seq, Used to translate
• speech to text Voice to text annotation

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Docker

As a one-time setting , Create a Docker Containers

docker pull doccano/doccano


docker container create --name doccano \
  -e "ADMIN_USERNAME=admin" \
  -e "[email protected]" \
  -e "ADMIN_PASSWORD=password" \
  -v doccano-db:/data \
  -p 8000:8000 doccano/doccano
  

docker container start doccano

Run it one by one and open it at the end. Insert the picture description here

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Go to http://127.0.0.1:8000/. ----- Open your server or local IP

To stop the container, run docker container stop doccano -t 5. All data created in the container will persist across restarts.

Effect display

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Many detailed schemes can be referred to README

• obtain Doccano Source code github-----URL