What it does

It identifies the positive, negative, neutral polarity in any text, including comments in surveys and social media. It also extracts sentiment at the document or aspect-based level. In order to do this, the local polarity of the different sentences in the text is identified and the relationship between them evaluated, resulting in a global polarity value for the whole text. It returns the sentiment, agreement, confidence and sarcasm of the description in JIRA.

How I built it

This app is available for JIRA. It is built using Forge

What I learned

Forge. Development and debugging in JS.

What's next for Sentiment Analysis

Publish a similar application for Confluence and make it look more visually appealing

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