How should you create an application to monitor comments and flag negative posts?

To effectively monitor comments and flag negative posts, performing sentiment analysis is the most appropriate approach. Sentiment analysis involves evaluating text to determine the emotional tone behind it, which can classify comments as positive, negative, or neutral. By utilizing the Language service for sentiment analysis, the application can automatically identify negative comments that may need to be flagged or reviewed. This allows for proactive management of user interactions, helping to maintain a healthy and constructive environment.

Key phrases extraction, while useful for identifying important terms within the comments, does not provide insights into the overall sentiment of those comments. Similarly, entity recognition focuses on identifying specific subjects within the text but does not analyze the emotional content or the tone. The Speech service, on the other hand, is designed for processing audio inputs rather than text comments, making it less suitable for the task of monitoring written comments directly. Thus, leveraging sentiment analysis is the best strategy for this application.