Data Analysis Foundations with PythonChapter 262
Chapter 17: Case Study 2 - Social Media Sentiment Analysis
Section 2 of 3-~ 1 min read-Synced from Cuantum content
1. What is tokenization in the context of text preprocessing? - A) Converting text to upper case
- B) Breaking text into individual words or sub-words
- C) Removing special characters from text
- D) Translating text into another language
1. Which algorithm is commonly used for sentiment analysis? - A) Linear Regression
- B) Naive Bayes
- C) K-Nearest Neighbors
- D) ARIMA
1. Why is data collection important in social media sentiment analysis? - A) To have sufficient data for training
- B) To better understand the audience
- C) To identify key features for model training
- D) All of the above