Caplena allows you to structure and analyze open-ended text feedback using a few key concepts. Understanding these will help you build meaningful insights from your data.
🔍 In this artcile:
Category
A category is a group of related topics that share the same overarching theme.
For example: Customer Service, Product Quality, or Pricing.
AI-Relevant: Categories are considered by the AI during training and when assigning topics.
Topic
Topics (also referred to as codes, themes, classes, or labels) summarize what is being mentioned in your text responses.
Each topic captures a specific idea or theme, for example:
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Support / helpfulness -
Friendliness -
Communication
Topics are what Caplena uses to classify and analyze responses.
Topic Label
The topic label is the concise name you give to a topic. It’s what’s displayed on topic chips and used by the AI to assign topics to texts.
AI-Relevant: The topic label directly impacts how the AI recognizes and applies the topic. Choose it thoughtfully.
Topic Sentiment
Topic sentiment adds emotional context to topics, classifying feedback as positive, neutral, or negative.
For instance, in a customer survey:
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Topic: Support / Helpfulness
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Sentiment: Positive (e.g., “super helpful”) or Negative (e.g., “no one answered”)
This allows you to analyze not just what’s being talked about, but how people feel about it.
You only need one topic (e.g., Support), the AI will automatically assign the appropriate sentiment.
Topic sentiment is optional, you can use topics without sentiment if you prefer.
Disabling Topic Sentiment
If you disable topic sentiment:
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All sentiment labels will be removed from the topic.
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This change is not reversible.
Topic Properties Overview
Depending on whether sentiment is enabled, topics will have slightly different properties.
Sentiment Labels
Optional labels that replace the standard topic name when sentiment is enabled.
Example: A topic called Picture Quality could have sentiment labels:
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Good(positive) -
Neutral -
Poor (negative)
AI-Relevant: Sentiment labels guide the AI when applying sentiment
Code
A code is a unique numerical identifier assigned to each topic (and sentiment version, if applicable). You can define the code manually, or let Caplena assign one automatically.
Description
A longer internal note or explanation of what the topic covers.
AI-relevant: With the upcoming AI improvements, topic descriptions will be taken into account when refining and interpreting topics