> For the complete documentation index, see [llms.txt](https://asknoel.gitbook.io/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://asknoel.gitbook.io/docs/asknoels-tech/noels-intelligence/trend-analyzer.md).

# Trend Analyzer

Trend Analyzer empowers <mark style="color:purple;">**ASKNOEL**</mark> to extract **real-time insights** from **X (formerly Twitter)** by identifying **trending topics**, monitoring **project mentions**, and analyzing **sentiment dynamics**. This tool tracks the evolution of **cryptocurrency-related discussions**, offering **actionable intelligence** on **market sentiment**, **social engagement**, and **emerging narratives**.

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#### <mark style="color:purple;">**Key Features**</mark>

* **Trending Topic Extraction** – Identifies frequently mentioned **tokens**, **hashtags**, and **discussions** within the crypto community.
* **Project-Specific Monitoring** – Tracks **mentions** and **engagement metrics** for specific assets, DeFi projects, and protocols.
* **Sentiment Analysis** – Utilizes **NLP models** to classify **sentiment** as **positive**, **neutral**, or **negative**, based on ongoing and historical trends.
* **Engagement Metrics** – Analyzes **tweet volume**, **retweets**, **likes**, and **influencer interactions** to gauge the **social impact** of discussions.
* **Historical Sentiment Trends** – Stores and compares **past sentiment data** to identify **long-term shifts** in market perception.