Code Monkey home page Code Monkey logo

ccs_annotator's People

Contributors

farzamfan avatar kasperwelbers avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar

ccs_annotator's Issues

Create a desktop app

You can use electron to make a standalone desktop application. In this way, users can use the tool like any other desktop application.

This will also help people with limited technical knowledge to start using the tool right away. Also, people concerned about privacy can use it offline.

See: https://www.electronjs.org/docs/tutorial/quick-start

Remove yarn.lock

The repository has two lock files package-lock.json and yarn.lock. As the instructions suggests using npm, yarn.lock should be removed.

Write a blog post

It will be useful to write a blog post to get feedback from the community. This will also help deciding the new features and getting users onboard in early stages of the development.

Add link to AmCAT4

It would be nice to add link to AmCAT4 for users not familiar with AmCAT4.

Big datasets

It is good to have an idea about a data size the tool can handle. Maybe users can be suggested not to use a very big text as this going to create some performance issues.

Add a privacy statement

The code runs in user's web-browser and annotated data stays in web-browser cache. If users are not informed about this, they may hesitate to use the tool due to privacy issues.

add issue templates

Adding issue templates helps to get structured information when user creates a ticket.

Please see https://docs.github.com/en/communities/using-templates-to-encourage-useful-issues-and-pull-requests/configuring-issue-templates-for-your-repository for instructions on adding issue templates.

I suggest templates for the following topics:

  • Feature request
  • Bug
  • Question
  • Security
  • Other

You can find some examples here:
https://github.com/research-software-directory/research-software-directory/tree/master/.github/ISSUE_TEMPLATE

assign label to multiple selections

One way of quickly annotating is to (following the example):

  • first click on each word linked to 'Rutte'
  • on the screen, a pop-up with existing labels is shown.
  • the user selects one or more labels
  • assign the labels to all individual words selected

impractical json format when downloading

When downloading the annotations, the resulting json file is strange, something seems to go wrong with the printing of the annotation object.
Currently, the annotations are converted to a string (containing the json), and this string itself is added as "annotations":

 "annotations": "[\n  {\n    \"code\": \"Mark Rutte\",\n \"offset\": 318,\n    \"length\": 10\n  },\n 

Expected output, a json array of annotation objects:

"annotations": [ {   "code": "Mark Rutte",   "offset":  318,   "length": 10 }, ],

visual feedback on progress

It would be nice to have visual feedback (ie. progress bar?) to see how far you are on the annotation task.

go to next / previous document

There is no obvious way to go to the next (and possibly previous) document to label.
I can click on the top drowdown, but that does not scale for many sentences, and it is not clear from the start.

record a screencast

A screencast will be extremely useful for users to see how the tool works. You could record your screen while showing the features using the online demo.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.