• PHRASES
  • COUNTS
  • TRENDS
  • HUMAN

How to analyze sentiment trends with your AI

Connect the N-Gram Frequency Engine to your AI client to turn raw feedback into a list of the most frequent two-word phrases.

Ask AI about this page

Short answer

How can I find common sentiment trends in my reviews?

Your AI uses the N-Gram Frequency Engine to count how often specific two-word pairs appear in your text. This reveals the exact descriptors customers use most often. You'll see the specific patterns driving your sentiment scores.

The results you'll get.

Where the data lands.

The engine converts unstructured text into a structured list of phrase frequencies.

PHRASES

Common two-word pairs

The AI identifies the most frequent two-word combinations. You'll see exactly which adjectives or nouns keep appearing in your reviews.

COUNTS

Precise frequency data

Get exact counts for every descriptor found. This helps you distinguish between a one-off comment and a widespread trend.

TRENDS

Recurring sentiment patterns

Compare phrase counts across different datasets. This shows you if specific complaints or praises are growing or fading over time.

HUMAN

Contextual verification

The AI provides the counts, but you decide if the phrases represent a real problem or just noise. You'll need to read the original text to confirm the intent.

The workflow

What your AI does when the data arrives.

The AI processes your text files to isolate and count specific word pairs.

  1. Parse text

    Your AI reads through the provided feedback files to prepare the text for analysis.

    extract_ngram_frequencies

  2. Identify pairs

    The engine scans the text to find every instance of two-word sequences.

    extract_ngram_frequencies

  3. Tally frequencies

    The AI counts how many times each specific two-word descriptor appears in the dataset.

    extract_ngram_frequencies

  4. Report findings

    Your agent presents the top phrase counts so you can see the most common descriptors.

    extract_ngram_frequencies

Try it

Copy these to start.

Use these prompts once you've connected the N-Gram Frequency Engine.

Starting points

Swap the bracketed text for your actual file names or data sources.

natural Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_9T1etKMahiW8NnGArHZFRlQgidDXjNxOPOUMepVx/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — natural capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "n-gram-frequency-engine-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_9T1etKMahiW8NnGArHZFRlQgidDXjNxOPOUMepVx/mcp"
    }
  }
}
Copy into chat04

  • Analyze the customer reviews in reviews.csv and list the most frequent two-word descriptors.

  • Look through the feedback in feedback_data.json and find the top 10 two-word phrases.

  • Scan the support tickets in support_logs.txt and tell me which two-word pairs appear most often.

  • Check the product comments in comments.txt and identify the most common two-word descriptors used by users.

  • Claude
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Start here

Connect N-Gram Frequency Engine once, then ask.

Click the link to connect the MCP to your client. Your credentials stay encrypted on our side, and you can start asking questions immediately.

Connect N-Gram Frequency Engine to your AI

FAQ

How this task behaves.

  • 01

    Can the AI change my original review files?

    No. The AI only reads the data to extract frequencies; it cannot edit or delete your source files.

  • 02

    Does the AI decide which phrases are important?

    The AI provides the counts for the pairs it finds. You must tell the AI which specific themes or descriptors to focus on.

  • 03

    Can it analyze three-word phrases?

    No. This tool is specifically designed to identify and count two-word sequences.

  • 04

    Will it automatically create a chart for me?

    No. The tool provides the raw frequency counts. You can then ask your AI client to help you format those numbers into a table or list.

  • 05

    Can it analyze data from a live URL?

    No. You need to provide the data through a supported file format that the AI can access.

  • More questions about N-Gram Frequency Engine? See everything the N-Gram Frequency Engine Connector can do

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