AI Solutions

Sentiment Analysis

Decoding the voice of the learner

+0.72Positivo
😊 Motivación😐 Neutral😟 Frustración
What is it?

Decoding the voice of the learner

CLIKMA's Sentiment Analysis is an Artificial Intelligence service designed to interpret the emotional tone behind every written comment. Through advanced machine learning models, it identifies whether a sentence is positive, negative, or neutral, allowing you to understand what people truly feel when interacting with your training programs.

Open feedback — from surveys to forums — becomes measurable and actionable knowledge, providing a deep look at the level of satisfaction, motivation, and experience of your learners.

A precise tool to listen better… and improve with intention.

Real-time analysis

"The course was very clear and practical"

😊
+0.89

"I didn't understand module 3 very well"

😟
-0.45

"The exercises were okay"

😐
+0.15
Comprende el contexto
How does it work?

High-impact measurement: polarity, intensity, and magnitude

Our technology goes far beyond classifying text as "positive" or "negative". The system analyzes emotion in detail and depth, calculating two key metrics:

  • Polarity score (-1.0 to +1.0): indicates whether the sentiment is negative, neutral, or positive.
  • Magnitude: measures the emotional force of the message, regardless of its sign.

This level of analysis lets you capture nuances that normally go unnoticed. For example, you can identify when a slightly negative comment was expressed with high intensity, revealing a relevant emotion to address and understand.

A finer reading for smarter decisions.

Sentiment Metrics
Polarity
-1.0
+1.0
+0.72
Magnitude
0.0
1.0
0.85
Positive comment with high emotional intensity
Multi-layer analysis
Benefits

The smart flow: From comment to strategic action

Our system takes each comment, analyzes it with AI, and turns it into actionable insights to improve the learning experience.

From sentiment detection to visualization in dashboards, the entire process is designed to deliver clear signals, prioritize opportunities, and guide concrete decisions.

Thus, a simple message transforms into strategic information that drives real improvements in your programs, teams, and processes.

From comment to action
1
CollectionSurveys, forums, evaluations
→
2
AI AnalysisPolarity + magnitude
→
3
VisualizationDashboards and trends
→
4
ActionData-driven decisions
Automated process
In detail

What it does today, feature by feature

Available out of the box in the platform, with no additional development.

Results analysis

All features: Workplace climate and surveys

Sentiment Analysis

Ready to understand what your teams really feel ?

Discover how Sentiment Analysis transforms feedback into action.

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