Inspiration

Sometimes in an attempt to be more through, a lot of unnecessary jargon makes it way into JIRA tickets and confluence pages. With the amount of tickets raised per day, it is really tiresome to go through the entire content at times and a short topic summary would be really useful.

What it does

Topic Extraction parses the description on JIRA tickets and then finds the relevant topics and classifies them into entities(proper nouns like people and places) and concepts(common nouns like products). It also provides the relevant type and subtype for each of these topics if there is one and their respective relevance.

What I learned

Forge. How to resolve an error on like 2941 in a 50 line Javascript code!

What's next for Topic Extraction

Make it more visually appealing by adding it into a table. Publish a similar application for confluence

Share this project:

Updates