An e-mail provider is using machine learning to classify incoming emails as “urgent” or “not urgent” based on a dataset of previously labeled (or categorized) emails. Which of the following best describes this approach?

Which of the following theorists developed a model of spiritual development?

Which of the following developed the psychosexual stages of development?

CBT was established by Ellis.

A company specializing in industrial equipment sales wants to analyze thousands of customer feedback messages to identify key complaint themes. They do not have predefined complaint categories but want to uncover patterns in the data. Which technique should they use? A) Sentiment analysisB) Named entity recognitionC) Latent Dirichlet Allocation (LDA)D) Supervised machine learning Answer: C) Latent Dirichlet Allocation (LDA) Explanation: LDA is a topic modeling technique that helps businesses identify hidden themes in large collections of unstructured text, such as customer complaints. Since the company does not have predefined categories, LDA is the best choice. Sentiment analysis (option A) determines emotional tone but does not uncover themes. Named entity recognition (option B) extracts specific entities (e.g., company names), not complaint topics. Supervised machine learning (option D) requires labeled data, which the company does not have.

Reflection of feeling, active listening, and encouragers are all counseling skills. 

Group counseling and individual counseling are effective treatment methods. 

Counselors are allowed to accept large gifts, such as a $100 gift card, from clients as a token of appreciation. 

School Counselors may have additional duties such as test coordination, parent consultation, and referrals. 

Psychoanalysis is a short term treatment process.