---
title: "Sentiment Analysis"
url: https://docs.catalyst.zoho.com/en/sdk/python/v1/zia-services/text-analytics/sentiment-analysis/
description: "This page describes the method to use the sentiment analysis feature in your Python application with sample code snippets."
last_updated: 2025-11-19T15:07:41Z
service: Zia Services
type: general
related_links:
  - name: "Sentiment Analysis - API"
    url: /en/api/code-reference/zia-services/text-analytics/sentiment-analysis/#SentimentAnalysis
  - name: "Sentiment Analysis Help"
    url: /en/zia-services/help/text-analytics/key-concepts/#sentiment-analysis
  - name: "SDK Scopes"
    url: /en/sdk/python/v1/sdk-scopes
---

# Sentiment Analysis

[Zia Sentiment Analysis](https://docs.catalyst.zoho.com/en/zia-services/help/text-analytics/key-concepts/#sentiment-analysis) is a part of Text Analytics that processes textual content to recognize the tone of the message, and the sentiments conveyed through it. It analyzes each sentence in the text to determine if its tone is **positive**, **negative**, or **neutral**. It then determines the tone of the overall text as one of the these three sentiments, based on the sentiments recognized in each sentence.

The response also returns the confidence scores for the sentiments detected in each sentence, to showcase the accuracy
of the analysis. The confidence score lies in the range of 0 to 1\. A confidence score for the overall analysis is also
returned.

You can pass a block of text as the input of upto **1500 characters** in a single request. The input
text is passed to `get_sentiment_analysis()`.

You can also pass optional keywords for the text. This will enable Sentiment Analysis to process only those sentences
that contain these keywords, and determine their sentiments. Other sentences will be ignored. This method takes in a second parameter as an empty list.

To know more about the component instance `zia` used below, please refer to [this help section](https://docs.catalyst.zoho.com/en/sdk/python/v1/zia-services/get-component-instance/).

**Parameters Used**

<table class="content-table">
	<thead>
		<tr>
			<th class="w20p">Parameter Name</th>
         <th class="w20p">Data Type</th>
      <th class="w60p">Definition</th>
		</tr>
	</thead>
	<tbody>
    <tr>
		<td>`text`</td>
      <td>String</td>
			<td>A **Mandatory** parameter. Will store the text to be analyzed.</td>
		</tr>
      <tr>
		<td>`keyword`</td>
      <td>String</td>
			<td>A **Optional** parameter. Will store the keywords to filter sentences containing them and analyze their sentiments.</td>
		</tr>
	</tbody>
</table>

```python
zia = app.zia()
result = zia.get_sentiment_analysis(
    [
        "Zoho Corporation, is an Indian multinational technology company that makes web-based business tools. It is best known for Zoho Office Suite. The company was founded by Sridhar Vembu and Tony Thomas and has a presence in seven locations with its global headquarters in Chennai, India, and corporate headquarters in Pleasanton, California.","Zoho"],
    [],
)

```

A sample response is shown below :

```json

{
   "sentiment_prediction":[
      {
         "document_sentiment":"Neutral",
         "sentence_analytics":[
            {
               "sentence":"Zoho Corporation, is an Indian multinational technology company that makes web-based business tools.",
               "sentiment":"Neutral",
               "confidence_scores":{
                  "negative":0,
                  "neutral":1,
                  "positive":0
               }
            },
            {
               "sentence":"It is best known for Zoho Office Suite.",
               "sentiment":"Neutral",
               "confidence_scores":{
                  "negative":0,
                  "neutral":0.6,
                  "positive":0.4
               }
            }
         ],
         "overall_score":0.83
      }
   ]
}

```

> **Info :** Refer to the [SDK Scopes table](https://docs.catalyst.zoho.com/en/sdk/python/v1/sdk-scopes) to determine the required permission level for performing the above operation.