A company specializing in industrial equipment sales wants t…
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.