Artificial Intelligence — CBSE Class 10 board question

Step 1 – Collect Documents:

• Doc 1: "Data Science requires information."
• Doc 2: "Information analysis requires data."

Step 2 – Create Vocabulary (unique words, lowercase):
{data, science, requires, information, analysis}

Step 3 – Create Word Frequency Vectors:

| | data | science | requires | information | analysis |
|---|---|---|---|---|---|
| Doc 1 | 1 | 1 | 1 | 1 | 0 |
| Doc 2 | 1 | 0 | 1 | 1 | 1 |

Step 4 – Document Vector Table ready.
Each document is represented as a numeric vector based on word frequency.

Source: Bag of Words Model, Document Representation

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• Examiners look for all four steps clearly labelled: collect text → build vocabulary → count frequencies → form vector table.
• The table is the most important part — ensure rows = documents, columns = vocabulary words.
• Treat words as case-insensitive and ignore punctuation.
• "requires" appears in both documents → frequency = 1 in each row.
• Do not skip the vocabulary listing step; it earns separate marks.