> For the complete documentation index, see [llms.txt](https://docs.flashx.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.flashx.ai/ai-powered-social-sentiment.md).

# 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.