What is Semantic Matching?
What is Semantic Matching?
Student
The Anubhav portal was launched in March 2015 at the behest of the Hon'ble Prime Minister for retiring government officials to leave a record of their experiences while in Govt service .
In simple terms:
It matches meaning, not just exact words.
1. Simple Example
Keyword Matching (Old method)
Query: "buy mobile online"
Text: "purchase smartphone on internet"
Result → Not matched (words are different)
Semantic Matching (Modern AI)
It understands:
Result → Matched because meaning is same
2. Definition
3. How It Works (Conceptually)
AI converts text into numerical vectors (embeddings).
Then it measures similarity between them using:
Closer vectors = More similar meaning.
4. Types of Semantic Matching
1. Semantic Search
Finds results based on meaning.
Example:
Search: "How to reduce weight?"
Results: "Tips for losing fat"
2. Question-Answer Matching
Matches user question with best answer.
Used in:
3. Sentence Similarity
4. Document Matching
5. Where Semantic Matching is Used
Very common in AI systems:
6. Semantic Matching vs Keyword Matching
7. Technologies Used
Semantic matching is built using:
8. One-Line Explanation
Semantic Matching = Finding similarity based on meaning, not exact words.