> ## Documentation Index
> Fetch the complete documentation index at: https://docs.caplena.com/llms.txt
> Use this file to discover all available pages before exploring further.
# Net Sentiment Score
> How to Interpret and Visualize Net Sentiment in Caplena
The Net Sentiment Score is a key metric used to measure the overall sentiment of your text data. Each comment is classified as positive, negative, or neutral based on its content and the topics assigned to it.
This classification follows the same principles as the Net Promoter Score (NPS), providing a simple and effective way to understand the general sentiment of your feedback.
## How Is the Net Sentiment Score Calculated?
The formula is simple:
> **Net Sentiment Score = % Positive – % Negative**
This results in a score ranging from:
* **+100** → all responses are positive
* **0** → equal balance between positive and negative
* **–100** → all responses are negative
🟢 A **higher score** indicates more positive feedback\
🔴 A **lower score** suggests a predominance of negative sentiment
In the screenshot shown above:
* **84.5%** of comments are classified as **positive**
* **13.2%** are **negative**
So the Net Sentiment Score is:
> **84.5 – 13.2 = 71.3**
## Visualizing Net Sentiment
There are **two ways to visualize** Net Sentiment in Caplena using Insight Elements:
### 1. **Net Sentiment (Gauge + Summaries)**
No date variable required
This view shows:
* A **gauge** displaying the current score
* An **AI-generated Positive Sentiment Summary**
* An **AI-generated Negative Sentiment Summary**
Best for one-time reports, dashboard overviews, and highlighting what customers like or dislike.
### 2. **Net Sentiment Over Time**
Date variable required
This view includes:
* A **gauge** displaying the current score
* A **line chart** showing how sentiment changes over time
Best for tracking sentiment development over time or identifying turning points in customer perception.
## Use Cases
Use the Net Sentiment Score to:
* Benchmark overall customer sentiment
* Track emotional tone over time (with date variable)
* Supplement or replace metrics like NPS or CSAT