Generate a compact tag from a video caption by selecting the most relevant words using simple text-processing rules.
Problem
You are given a video caption as a string. Generate a tag for the video by extracting the most relevant words from the caption and combining them into a compact identifier.
A typical solution involves normalizing the caption, splitting it into words, counting or selecting important tokens, and producing a final tag string according to the rules of the problem.
Since the exact platform statement is unavailable, treat this as a string-processing interview problem focused on careful parsing and deterministic formatting.
Input Format
- A single string representing the video caption.
- The caption may contain spaces, punctuation, and mixed casing.
Output Format
- Return a string representing the generated tag.
- The tag should follow the problem's formatting rules and be deterministic for the same caption.
Constraints
- The caption length and exact formatting rules are platform-specific and unknown here.
- Assume standard ASCII/Unicode-safe string handling unless otherwise specified.
Example 1
Input
"Leetcode daily challenge: generate tag for video caption"
Output
"leetcode-daily-challenge"
Explanation
This illustrative example keeps the most relevant normalized words and joins them into a compact tag. Exact selection rules may differ in the original problem.
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