This article explains how the sentiment analysis and profanity language filter in the peer evaluation activity works
This Guide is for:
- Super Admin
- Teacher Admin (Full-Access)
- Teacher (Owner Full-Access)
InteDashboard uses a tool called a sentiment analyzer to help us understand the tone of feedback provided during peer evaluation.
It can be found on the peer evaluation activity dashboard as below:
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Whenever a student submits feedback, whether in the form of a full sentence or just a few words, the tool evaluates the tone of their message to assess its sentiment:
- Positive (helpful, encouraging)
- Negative (frustrated, critical)
- Or Neutral (just stating facts)
It allows teachers to quickly pinpoint feedback that may be overly harsh or emotionally charged, reducing the necessity to review every single comment individually.
How does it figure that out?
The analyzer evaluates the words in the message against a predefined dictionary of emotional terms. Each term is assigned a “feeling score”:
The analyzer evaluates the words in the message against a predefined dictionary of emotional terms. Each term is assigned a “feeling score”:
- Happy or supportive words = positive
- Angry or hurtful words = negative
Then it adds up the scores and gives an overall sentiment rating for the message.
What are its limits?
Due to the tool's straightforward design, there are certain nuances it may overlook:
Sarcasm
Due to the tool's straightforward design, there are certain nuances it may overlook:

Example: “Nice job… eventually.”
Sounds polite, but it’s actually a dig — and the analyzer might think it’s positive.

“Thanks for helping… kind of.”

“Well, at least you tried.”
These examples can look polite on the surface, but the tone is negative — and the tool can’t always catch that.
Why still use it?
This tool is particularly effective in quickly identifying:
- Overly critical comments
- Common trends in feedback
- General tone dynamics within a group
It operates swiftly and efficiently, promoting a culture of respectful feedback, even if it occasionally misses subtle sarcasm or passive-aggressive undertones.