A sentiment dashboard collects text such as reviews or social posts, scores each one as positive, negative or neutral, and charts how opinion changes.
In plain words
The pipeline has three parts. Gather text, for example product reviews. Run each item through a sentiment model, which returns a label and a confidence score, or through a cloud service that also measures how strong the feeling is. Then group and chart the results by product, week or topic, for instance with a bar chart in a small Streamlit app.
A quick example
Hugging Face's docs pass a short line from a fan saying how much they loved Star Wars to a sentiment pipeline, which labels it positive with a score of 0.99. A dashboard does this for thousands of reviews and plots the share of positive and negative ones each week.
Where you'll meet it
- Tracking customer feedback and reviews.
- Monitoring reaction to launches or campaigns.
Related
Sources
- DocsText Classification, Hugging Face Tasks · read 29 Sept 2026
- DocsAnalyzing sentiment, Google Cloud Natural Language docs · read 29 Sept 2026
- Docsst.bar_chart, Streamlit Docs · read 29 Sept 2026
- DocsNatural Language API basics, Google Cloud Natural Language docs · read 29 Sept 2026
Checked by WhatIsAI against the sources above · 29 Sept 2026. Spotted an error? Report it.