Following list is ordered by from easy to hard. If you are not familiar with Python development, please consider easy setup.
Following list is ordered by from easy to hard. If you are not familiar with Python development, please consider easy setup.
1. [One click deployment to Cloud Service.](https://github.com/chakki-works/doccano#deployment)
1. [One click deployment to Cloud Service.](https://github.com/chakki-works/doccano#deployment)
* Only you have to do is create an account. Especially [Heroku](https://www.heroku.com/home) does not require your credit card (if free plan).
* [![Deploy to Azure](https://azuredeploy.net/deploybutton.svg)](https://portal.azure.com/#create/Microsoft.Template/uri/https%3A%2F%2Fraw.githubusercontent.com%2Fchakki-works%2Fdoccano%2Fmaster%2Fazuredeploy.json)
* > Notice: (1) EC2 KeyPair cannot be created automatically, so make sure you have an existing EC2 KeyPair in one region. Or [create one yourself](https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ec2-key-pairs.html#having-ec2-create-your-key-pair). (2) If you want to access doccano via HTTPS in AWS, here is an [instruction](https://github.com/chakki-works/doccano/wiki/HTTPS-setting-for-doccano-in-AWS).
* Only you have to do is create an account. Especially [Heroku](https://www.heroku.com/home) does not require your credit card (if free plan).
* [![Deploy to Azure](https://azuredeploy.net/deploybutton.svg)](https://portal.azure.com/#create/Microsoft.Template/uri/https%3A%2F%2Fraw.githubusercontent.com%2Fchakki-works%2Fdoccano%2Fmaster%2Fazuredeploy.json)
* > Notice: (1) EC2 KeyPair cannot be created automatically, so make sure you have an existing EC2 KeyPair in one region. Or [create one yourself](https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ec2-key-pairs.html#having-ec2-create-your-key-pair). (2) If you want to access doccano via HTTPS in AWS, here is an [instruction](https://github.com/chakki-works/doccano/wiki/HTTPS-setting-for-doccano-in-AWS).
2. [Use Docker](https://docs.docker.com/install/)
2. [Use Docker](https://docs.docker.com/install/)
* Docker doesn't bother you by the OS, Python version, etc problems. Because an environment for application is packed as a container.
* Get doccano's image: `docker pull chakkiworks/doccano`
* Create & Run doccano container: `docker run -d --name doccano -p 8000:80 chakkiworks/doccano`
doccano is an open source text annotation tool for human. It provides annotation features for text classification, sequence labeling and sequence to sequence. So, you can create labeled data for sentiment analysis, named entity recognition, text summarization and so on. Just create project, upload data and start annotation. You can build dataset in hours.
doccano is an open source text annotation tool built for human beings. It provides annotation features for text classification, sequence labeling and sequence to sequence. So, you can create labeled data for sentiment analysis, named entity recognition, text summarization and so on. Just create project, upload your data and start annotating. You can build a dataset in hours.
## Demo
## Demo
You can enjoy [annotation demo](http://doccano.herokuapp.com).
You can enjoy this [annotation demo](http://doccano.herokuapp.com).
First demo is one of the sequence labeling tasks, named-entity recognition. You just select text spans and annotate it. Since doccano supports shortcut key, so you can quickly annotate text spans.
First demo is one of the sequence labeling tasks, named-entity recognition. You just select text spans and annotate them. Since doccano supports shortcut keys, you can quickly annotate text spans.
Final demo is one of the sequence to sequence tasks, machine translation. Since there may be more than one responses in sequence to sequence tasks, you can create multi responses.
Final demo is one of the sequence to sequence tasks, machine translation. Since there may be more than one responses in sequence to sequence tasks, you can create multiple responses.
Doccano is a fast-moving, community supported project. This roadmap provides guidance about priorities and focus areas of the doccano team and lists the functionality expected in upcoming releases of doccano. Many of these areas are driven by community use cases, and we welcome further contributions to doccano.
Doccano is a fast-moving, community supported project. This roadmap provides guidance about priorities and focus areas of the doccano team and lists the functionality expected in upcoming releases of doccano. Many of these areas are driven by community use cases, and we welcome further contributions to doccano.