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td-tfidf

Official

Unlock text insights with TF-IDF.

Data & Analytics#feature extraction#natural language processing#teradata#text analytics#data mining#td-tfidf
Authorteradata-labs
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill automates the process of analyzing text data within Teradata, enabling you to extract meaningful insights and features for various text analytics tasks.

Core Features & Use Cases

  • Term Frequency-Inverse Document Frequency (TF-IDF): Computes TF-IDF scores to identify important terms in documents.
  • Text Analytics Workflow: Provides a complete workflow from data preprocessing to feature extraction using Teradata's TD_TFIDF function.
  • Use Case: Analyze customer reviews to identify key themes and sentiments, or extract features from documents for classification models.

Quick Start

Analyze the table named 'customer_feedback' to extract text features using TD_TFIDF.

Dependency Matrix

Required Modules

None required

Components

scriptsreferences

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: td-tfidf
Download link: https://github.com/teradata-labs/claude-cookbooks/archive/main.zip#td-tfidf

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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