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LDA is a probabilistic topic modeling algorithm that is particularly well-suited for handling high-dimensional and sparse datasets. It is commonly used in text processing and natural language processing tasks to discover latent topics within a collection of documents. LDA can automatically identify patterns and relationships in large corpora, making it a valuable tool for analyzing unstructured textual data) The other options a) K-Nearest Neighbors, b) Decision Trees, c) Support Vector Machines, and (E) Linear Regression are not specifically designed for handling sparse and high-dimensional data, although they have their applications in various other data analysis tasks.
_____________ marketing concept focuses on delivering customer satisfaction along with improving the consumer's and the society's well-being.
Coupons and sales are frequently used marketing tactics in which form of competition?
Retailing that occurs outside a retail outlet, such as through direct marketing, direct selling, and automatic vending is classified as:
Observing people and asking them questions are two ways to obtain:
Social media deliberately seek to ensure that the message does not end with an individual receiver. Social media seek to reach __________.
Which of the following is a commonly used method of classifying retail outlets?
Which survey type is usually biased because those likely to respond have had especially positive or negative experiences with a given product, service, ...
A message is conveyed by means of a _____ such as a salesperson, advertising media, or public relations tools.
Cause marketing programs incorporate all three concepts of social responsibility by addressing public concerns, satisfying customer needs, and:
When Future Vacations allows customers to personalize their next vacation and customize their trip to whatever their needs are, this would best be descr...
