Natural Language Processing (NLP) Quiz

What is the ultimate goal of natural language processing?

• To create virtual assistants like Alexa and Siri

• To help computers understand language as well as humans do

• To analyze customer surveys and feedback

• To process massive volumes of data

What is natural language processing (NLP) all about?

• Tracking orders and recommending products

• Sifting through hundreds of resumes

• Analyzing market intelligence

• Making computers understand and generate human language

What is the primary focus of syntactic analysis?

• Understanding the attitude of a speaker or writer

• The grammatical structure of the text

• The meaning being conveyed

• Determining semantic relationships

What is the process of reducing words to their word stem called?

• Named Entity Recognition

• Stemming

• Text Segmentation

• Parsing

What does named entity recognition (NER) concentrate on determining?

• The grammatical structure of the text

• The attitude of a speaker or writer with respect to a document

• Which items in a text can be located and classified into predefined categories

• The semantic relationships between named entities

What can natural language processing bring to data analysis?

• Objectivity and more accurate results

• Faster insights

• Increased employee productivity

• Higher-quality customer experience

In which industry are NLP-powered chatbots and callbots most common?

• E-Commerce

• Human Resources

• Marketing

• Customer Service

How can natural language processing help marketing teams?

• By analyzing online reviews, social media posts and web forums

• By sifting through hundreds of resumes

• By tracking orders and recommending products

• By analyzing customer surveys and feedback

What can recruiters and HR personnel use natural language processing for?

• Analyzing market intelligence

• Sifting through hundreds of resumes

• Reviewing employee surveys

• Gathering market intelligence

What is the primary benefit of natural language processing in e-commerce?

• Helping customers book tickets, track orders and recommend products

• Analyzing market intelligence

• Enhancing data analysis

• Increasing employee productivity