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.

What is topic modeling used for?

Understanding the tone of text
Determining authors' sentiments
Identifying the main subjects in documents
Classifying data into structured categories

The correct answer is: Identifying the main subjects in documents

Topic modeling is a technique in natural language processing and text mining that is specifically used to discover the underlying topics present in a collection of documents. By analyzing the words and phrases used throughout the text, it can group and categorize the documents based on the themes or main subjects they cover. This makes it particularly valuable for summarizing large volumes of text data and allows researchers or analysts to identify trends and insights related to those topics. While understanding the tone of text, determining authors' sentiments, and classifying data into structured categories are important tasks in text analytics, they do not directly align with the primary function of topic modeling, which focuses on uncovering latent topics rather than sentiment or categorical classification. Topic modeling provides a way to extract relevant themes that can lead to deeper insights or guide further analysis based on the identified subjects.