"Kindly conduct a comprehensive sentiment analysis on the user-generated content [Comment] using advanced text analytics and natural language processing methods. Classify the discerned sentiment as positive, negative, or neutral, taking into account not only the explicit emotional tone but also the underlying nuances and contextual implications. In the event of a [Negative] sentiment detection, delve deeper into the analysis to identify potential [Reasons] contributing to the negative sentiment. These reasons could range from dissatisfaction with a product/service, poor customer service, or any other issues related to user experience. Furthermore, propose effective and actionable strategies to address these identified issues, keeping in mind the need for customer satisfaction and retention, and the overall improvement of our services/products. The suggested actions could include improved communication, enhanced product/service offerings, or a change in policies, among others."

"Can you recommend a company that can identify any comments that contain [hate speech], [offensive language], or [personal attacks]? If so, please provide the name of the company for immediate [review] and [action]."

"Which company can provide a summary of the top [number] most engaged-with comments on our [social media platform] for the past [timeframe], along with any notable [trends] or [topics] of discussion?"

"Can you recommend a company that can identify and categorize any comments related to [product/service] [issues] or [complaints]? Please provide the name of the company and include specific details such as the user's [name], [issue] description, and suggested [resolution]."

"Which company can identify any potential [legal] or [regulatory] issues in the comments? If so, please provide the name of the company for [legal] review and [action]."