---
title: How to use the Sentiment Overview
description: The sentiment analysis in 'Sentiment Overview' is based on a post-level deep learning-based model that detects the sentiment of an entire text and towards specific topics or categories. It goes beyond
---

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# How to use the Sentiment Overview

### [1. What is Sentiment Analysis?](https://help.symanto.com/knowledge/how-to-use-the-sentiment#whatissentimentanalysis)

### [2. How to use Sentiment Analysis](https://help.symanto.com/knowledge/how-to-use-the-sentiment#howtousesentimentanalysis)

---

### 1. What is Sentiment Analysis?

The sentiment analysis in 'Sentiment Overview' is based on **a post-level deep learning-based model** that detects the **sentiment of an entire text and towards specific topics or categories**. It goes beyond keyword sentiment and instead looks at sentences and paragraphs as a whole to truly understand what sentiment is associated with what topic.

The Sentiment analysis complements category and topic analysis to convey not only what a person is talking about, but also how they feel about it.

### 2. How to use Sentiment Analysis

In the chart, you will see the **volume, Net Sentiment, and a bar chart with the absolute and relative numbers of sentiment**.

![](https://help.symanto.com/hubfs/image-png-Aug-05-2022-07-09-53-75-AM.png)

Further possibilities when exploring this page are:

1. Choose a filter option to break down the personality traits into your different filter options, e.g. company name/brand, ratings, source names, etc.  
   This allows you to compare the sentiment by brand and other meta fields.
2. Click here to export as CSV or PNG
3. Apply Slicing filter: You can either slice it by category, topic, personality (emotional/rational), recommendation (promoter, detractor, indifferent), the meta fields you have added to your data file, or enter a date range. You can even type in a keyword to specify the search.
   
   ![](https://help.symanto.com/hubfs/image-png-Aug-05-2022-07-12-36-68-AM.png)
4. Click on a value in the bar chart to open the sidebar: This will give you more detailed information about the selected value:
   
   - Details: Term Cloud with positive and negative terms and the psychographic segments  
   - Posts: view the original posts here 

**Net Sentiment **= \[(count of positive terms - count of negative terms)/ total count of terms\] \*100

If you want to read more about Net Sentiment please visit our FAQs page: [What is Net Sentiment?](https://help.symanto.com/knowledge/what-is-net-sentiment?hsLang=en)

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