Artificial Intelligence — CBSE Class 10 board question

Step 1: Text Processing (Pre-processing)
Remove stop words (and, are, but, to), convert to lowercase.

• Doc 1: [sameera, sanya, classmates]
• Doc 2: [sameera, likes, dancing, sanya, loves, study, mathematics]

Step 2: Create Dictionary (Vocabulary)
List all unique words from both documents:

| sameera | sanya | classmates | likes | dancing | loves | study | mathematics |
|---------|-------|------------|-------|---------|-------|-------|-------------|

Step 3: Create Document Vector for Doc 1

| sameera | sanya | classmates | likes | dancing | loves | study | mathematics |
|---------|-------|------------|-------|---------|-------|-------|-------------|
| 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 |

Step 4: Document Vector Table for All Documents

| sameera | sanya | classmates | likes | dancing | loves | study | mathematics |
|---------|-------|------------|-------|---------|-------|-------|-------------|
| 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
| 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 |

Source: Chapter 6, Section 6.5 – Bag of Words

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• Examiners look for all four steps clearly labelled with the outcome of each step shown.
• Stop words removed in Step 1: and, are, but, to — these are grammar words with no informational value.
• The dictionary must contain only unique words (no repetitions).
• In the final table, each row = one document; each cell = frequency of that word in that document (0 if absent, 1 if present once).
• Keep the table neat — marks are awarded for correct 0/1 entries.