Han yu HDA Quiz 12

Which of the following challenges can make sentiment analysis more difficult?

• Emojis
• Absence of text data
• Multilingual datasets
• Lack of powerful computers

What is the primary difference between supervised and unsupervised learning?

• Supervised learning uses CPUs, while unsupervised learning requires GPUs
• Supervised learning uses unstructured data, while unsupervised learning uses structured data
• Supervised learning involves training a model on labeled data, while unsupervised learning is on unlabeled data
• Supervised learning requires human intervention, while unsupervised learning does not

In the context of web analytics, what does 'bounce rate' refer to?

• The frequency of website crashes
• The number of users who leave the website without taking action
• The rate of visitor increase on the website
• The conversion rate of users visiting the site

Which type of analytics is particularly useful for understanding customer sentiment from reviews?

• Deep learning
• Web analytics
• Text analytics
• Supervised learning

Which of the following KPIs is NOT directly tracked through web analytics?

• The revenue per employee
• The source of traffic
• The conversion rate
• Monthly unique visitors

Why might you use Google Analytics over other web analytics tools?

• It can predict future website trends
• It has a feature for sentiment analysis
• It can segment website visitors for audience analysis
• It can create website designs

Which application of text analytics could potentially help in detecting fraudulent activities?

• Filtering spam
• Customer service
• Social media listening
• Product analytics

How does machine learning differ from deep learning in terms of data requirements?

• Machine learning requires structured data, while deep learning does not
• Machine learning requires more data than deep learning
• Machine learning requires only small datasets
• Deep learning can only learn from textual data

What is one of the major distinctions between machine learning and deep learning in terms of operation?

• Machine learning requires a GPU, while deep learning can function on a CPU
• Deep learning requires human intervention for mistakes, while machine learning does not
• Machine learning requires less computational power than deep learning
• Deep learning algorithms are easier to train than machine learning algorithms

Which of these is a specific task within text analytics?

• Sentiment analytics
• Data collection
• Conversion tracking
• Real-time monitoring