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Tools in Data Science · End Term · 21 Dec 2025 · September 2025 term

Question 18: Scenario 1: Restaurant Review Data Analysis\ Context\ A …

Question 18

+1 markOne correct option

Scenario 1: Restaurant Review Data Analysis
Context
A food delivery platform wants to analyze restaurant reviews to identify trending cuisines and customer satisfaction patterns. They have review data in CSV format with ratings, text comments, and timestamps.
Sample Data (restaurants.csv):

Based on the above data, answer the given subquestions.

To identify the most common words in negative reviews (rating < 3.0), which approach correctly combines filtering and text analysis?

  1. A

    Count all words in all reviews regardless of rating

  2. B

    Filter for low ratings, then extract and count words from the review_text column

  3. C

    Sort reviews by rating and manually read the bottom ones

  4. D

    Use only the rating numbers without looking at text

Show answer

Correct answer

  • B

    Filter for low ratings, then extract and count words from the review_text column

See the whole paperTake it as a mock test

Question 18 of 36 in the IIT Madras BS Tools in Data Science (Tools in Data Science (TDS)) End Term paper sat on 21 Dec 2025, in the September 2025 term (Tools In Data Science 18 Dec 25). It carries 1 mark.

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