Alteryx Foundation Micro-Credential Practice Exam

Disable ads (and more) with a membership for a one time $4.99 payment

Prepare for the Alteryx Micro-Credential Exam. Engage with flashcards, multiple-choice questions, and insightful hints to enhance your readiness. Ace your test with ease!

Practice this question and more.

Positive and negative sentiments in text data are evaluated through which type of analysis?

Descriptive analysis
Sentiment analysis
Inferential analysis
Comparative analysis

The correct answer is: Sentiment analysis

Sentiment analysis is specifically designed to identify and categorize the emotions expressed in text, distinguishing between positive and negative sentiments. This technique leverages natural language processing (NLP) to analyze the language used in the text, allowing it to recognize the tone and sentiment of the words, phrases, and sentences. This process is crucial for applications such as social media monitoring, customer feedback analysis, and market research, where understanding public sentiment can inform business decisions. Other analysis types, while important in data analysis, do not focus on sentiment. Descriptive analysis summarizes data features, inferential analysis makes predictions or inferences about a population based on a sample, and comparative analysis involves comparing two or more datasets to find differences or similarities. Each of these methods serves different purposes that do not include the evaluation of sentiment in text data.