Artificial Intelligence — CBSE Class 10 board question

TFIDF stands for Term Frequency-Inverse Document Frequency.

Two applications of TFIDF:

1. Keyword Extraction – It helps identify the most important/valuable words in a document by assigning higher scores to rare but significant terms.
2. Text Classification – It is used to classify documents into categories by determining the relevance of words within them.

• The full form alone can fetch 1 mark; each application is worth ½ mark each (totalling 1 mark) — so never skip the expansion.
• TFIDF measures how important a word is to a document in a corpus: high TF but low IDF = common word (stop word); low TF but high IDF = rare, valuable word.
• Other valid applications include: search engines, sentiment analysis, document summarisation, and information retrieval — any two are acceptable.