# AI-Powered Social Sentiment

***Note:** This function is only available on the FlashX Extension version.*

## **Overview**

FlashX’s **AI-Powered Social Sentiment** feature helps you analyze and gauge the sentiment surrounding a particular token, based on **real-time Twitter activity**. This feature uses AI to evaluate the tone, sentiment, and key themes from relevant social media discussions to assist in making informed trading decisions.

## **How to Use AI-Powered Social Sentiment**

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1. **Accessing Social Sentiment**:
   * Go to the **"Mention"** tab within **FlashX** to view the AI-Powered sentiment analysis for various tokens. This section displays the sentiment data gathered from relevant **Twitter posts**.
   * FlashX will automatically display a sentiment summary of tokens that are being actively discussed on **X (formerly Twitter)**.
2. **Understanding the Sentiment Summary**:
   * The AI analyzes **tweets** related to specific tokens and provides a **summary** of the sentiment, whether it is **positive**, **neutral**, or **negative**.
   * This shows whether the community is actively encouraging others to buy the token and whether they are expressing **bullish** predictions.


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.flashx.ai/ai-powered-social-sentiment.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.