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AI Text Sentiment Analyzer

Analyze text sentiment and emotional tone with detailed breakdown of positive, negative, and neutral emotions

Enter any text - reviews, comments, messages, articles, or personal writing for sentiment analysis

Choose the depth of sentiment analysis

Select the type of emotions to focus on in the analysis

Select the language of the text being analyzed

Include suggestions for better emotional understanding and communication

Include emotion statistics, percentages, and data visualization

Choose the format for the analysis output

Key Facts

Category
AI Tools
Input Types
textarea, select, checkbox
Output Type
stream
Sample Coverage
4
API Ready
Yes

Overview

The AI Text Sentiment Analyzer provides deep insights into the emotional tone and sentiment of your written content. By processing text through advanced linguistic models, this tool identifies positive, negative, and neutral sentiments, helping you understand the underlying mood and intent behind reviews, messages, and professional communications.

When to Use

  • •Evaluating customer feedback and product reviews to gauge overall satisfaction.
  • •Analyzing professional emails or documents to ensure the intended tone is conveyed.
  • •Detecting emotional shifts in social media comments or personal writing.

How It Works

  • •Paste your text into the input area and select your preferred analysis depth.
  • •Choose an emotion focus, such as general, complex, or professional, to tailor the results.
  • •Configure optional settings like statistical analysis or communication suggestions.
  • •Generate the report in your desired format, such as a readable summary or structured JSON.

Use Cases

Customer Experience Management: Quickly categorize thousands of product reviews into sentiment buckets to identify pain points.
Corporate Communication: Review draft emails or press releases to ensure the tone aligns with company branding and professional standards.
Social Media Monitoring: Track the emotional reception of brand campaigns or public announcements in real-time.

Examples

1. Customer Review Sentiment Audit

Customer Support Manager
Background
The team receives hundreds of product reviews daily and needs to identify which ones require immediate escalation due to negative sentiment.
Problem
Manually reading every review is inefficient and prone to subjective bias.
How to Use
Paste the batch of reviews into the text area, set analysis depth to 'Detailed', and enable 'Include Statistical Analysis'.
Example Config
analysisDepth: detailed, emotionType: general, includeStatistics: true, exportFormat: structured
Outcome
A structured list of reviews categorized by sentiment score, allowing the team to prioritize responses to highly negative feedback.

2. Professional Email Tone Check

Project Manager
Background
A manager needs to send a sensitive project update to a client and wants to ensure the tone remains professional and constructive.
Problem
The draft might sound overly critical or ambiguous, potentially causing client friction.
How to Use
Input the email draft, select 'Professional Context' as the emotion focus, and enable 'Include Understanding Suggestions'.
Example Config
analysisDepth: comprehensive, emotionType: professional, includeSuggestions: true
Outcome
The tool provides an emotional breakdown and actionable suggestions to adjust specific phrases for a more collaborative and positive tone.

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FAQ

What types of text can I analyze?

You can analyze any text, including customer reviews, social media comments, professional emails, articles, and personal writing.

Can the tool detect complex emotions?

Yes, by selecting the 'Complex Emotions' focus, the tool can identify nuanced feelings like anticipation, disappointment, or pride.

Does it support languages other than English?

Yes, the tool supports multiple languages including Chinese, Spanish, French, German, Portuguese, and Russian.

Can I export the analysis results?

Yes, you can export your results in various formats including readable reports, JSON data, Markdown, or structured lists.

Is statistical data available?

Yes, by enabling the 'Include Statistical Analysis' checkbox, you will receive emotion percentages and data visualizations.

API Documentation

Request Endpoint

POST /en/api/tools/text-sentiment-analyzer

Request Parameters

Parameter Name Type Required Description
text textarea Yes Enter any text - reviews, comments, messages, articles, or personal writing for sentiment analysis
analysisDepth select Yes Choose the depth of sentiment analysis
emotionType select Yes Select the type of emotions to focus on in the analysis
language select Yes Select the language of the text being analyzed
includeSuggestions checkbox No Include suggestions for better emotional understanding and communication
includeStatistics checkbox No Include emotion statistics, percentages, and data visualization
exportFormat select No Choose the format for the analysis output

Response Format

data: {"chunk": "data: processed content 1", "type": "stream"}


data: {"chunk": "data: processed content 2", "type": "stream"}


data: {"type": "done"}
Stream: Stream

AI MCP Documentation

Add this tool to your MCP server configuration: 

{
  "mcpServers": {
    "elysiatools-text-sentiment-analyzer": {
      "name": "text-sentiment-analyzer",
      "description": "Analyze text sentiment and emotional tone with detailed breakdown of positive, negative, and neutral emotions",
      "baseUrl": "https://elysiatools.com/mcp/sse?toolId=text-sentiment-analyzer",
      "command": "",
      "args": [],
      "env": {},
      "isActive": true,
      "type": "sse"
    }
  }
}

You can chain multiple tools, e.g.: `https://elysiatools.com/mcp/sse?toolId=png-to-webp,jpg-to-webp,gif-to-webp`, max 20 tools.

If you encounter any issues, please contact us at [email protected]