Virtual Labs

Tools

Aim

Theory

Pretest

Procedure

Simulation

Posttest

References

Feedback

Aim

Theory

Pretest

Procedure

Simulation

Posttest

References

Feedback

Movie Review Sentiment Analysis using Naïve Bayes

Choose difficulty:

Beginner

Intermediate

Advanced

What is sentiment analysis?

a: A method to analyze numerical data Explanation

Explanation

b: A technique to determine the emotional tone of text Explanation

Explanation

c: A way to translate languages Explanation

Explanation

d: A process to detect plagiarism Explanation

Explanation

Which of the following is an example of a negative sentiment?

a: This movie was fantastic! Explanation

Explanation

b: The product quality is terrible. Explanation

Explanation

c: I love this song! Explanation

Explanation

d: This book is amazing. Explanation

Explanation

What is a classifier in machine learning?

a: A function that sorts numbers in ascending order Explanation

Explanation

b: A model that assigns labels to data Explanation

Explanation

c: A tool for creating datasets Explanation

Explanation

d: A method for storing data Explanation

Explanation

Which of the following is a common step in text preprocessing?

a: Adding more punctuation Explanation

Explanation

b: Removing stopwords Explanation

Explanation

c: Translating text to another language Explanation

Explanation

d: Randomly shuffling the words in a sentence Explanation

Explanation

Which algorithm is commonly used for text classification tasks?

a: Naive Bayes Explanation

Explanation

b: K-Means Clustering Explanation

Explanation

c: Dijkstra’s Algorithm Explanation

Explanation

d: Bubble Sort Explanation

Explanation

Why is it important to split data into training and testing sets?

a: To make the dataset smaller Explanation

Explanation

b: To evaluate how well the model performs on new data Explanation

Explanation

c: To ensure the model memorizes all training data Explanation

Explanation

d: To increase the dataset size Explanation

Explanation

Community Links Sakshat Portal Outreach Portal FAQ: Virtual Labs

AGPL 3.0 & Creative Commons (CC BY-NC-SA 4.0)