📖 What is a Topical Entry?
A topical entry is basically a word, phrase, place, or person that is being studied to see which category (or domain) it belongs to. Think of it like a dictionary word 📖 or a Wikipedia entry 🌍.
🔍 How Does It Work?
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Each topic (entry) is checked for words from different domain lists 📋.
Example: If the topic is “Artificial Intelligence”, we check how many words from the Technology domain list appear in it. -
Words from different domain lists are counted 🔢.
Example: If "AI" appears 24 times in the Technology domain 🖥️, and "AI" appears 5 times in the Business domain 💼, these numbers are recorded. -
A macro-context vector is created 📊.
This is like a scorecard 🏆 that tells us which domain the topic is most related to.
Example: If "AI" has 105 counts in Technology and only 5 counts in Business, we say that "AI" belongs mostly to Technology. -
This helps categorize topics for search engines, encyclopedias, and AI systems 🤖.
When someone searches for a topic, the system can match it with related domains and show the best results.
💡 Why Is This Useful?
- ✔️ Helps organize huge amounts of information 📚.
- ✔️ Improves search results by understanding what the user is looking for 🔍.
- ✔️ Makes AI systems smarter in recognizing topics and their categories 🤓.
🎯 Simple Analogy
Imagine you are sorting books 📚 in a library:
- You check each book and see how many words inside it relate to Technology, History, or Science.
- If a book has 100 tech words but only 5 history words, it goes in the Technology section!