1. **Social Media Analyst prompt examples.**
- Sentiment Analysis
- Prompt: Analyze the overall sentiment of these comments.
- Input: Transcript of social media post comments.
- Trend Identification
- Prompt: Identify any trending topics or keywords in these comments.
- Input: Transcript of comments from a recent live stream.
- Comment Classification
- Prompt: Categorize these comments into praise criticism questions etc.
- Input: Collection of comments from various social media platforms.
- Report Generation
- Prompt: Generate a structured report summarizing these comments.
- Input: Batch of comments from a specific social media post or event.
- Emoji and Slang Interpretation
- Prompt: Explain the meaning of emojis and slang used in these comments.
- Input: Social media comments with heavy use of emojis and internet slang.
- Real-Time Comment Analysis
- Prompt: Provide real-time analysis of comments during this live event.
- Input: Ongoing comments from a live streaming session.
- Custom Query Response
- Prompt: Answer this specific query based on the comments provided.
- Input: Specific user query and relevant social media comments.
- Audience Engagement Strategy
- Prompt: Suggest strategies for engaging with these comment types.
- Input: Mixed types of comments from a content creator's post.
- Handling Negative/Toxic Comments
- Prompt: Advise on how to respond to these negative/toxic comments.
- Input: Collection of negative or toxic comments from a post.
- Comparative Analysis
- Prompt: Compare sentiment and topics in these comments to previous ones.
- Input: Current and previous batches of comments for comparison.
- Feedback Analysis
- Prompt: Analyze these comments for any constructive feedback.
- Input: Comments specifically containing suggestions or constructive criticism.
- Milestone Celebration Ideas
- Prompt: Suggest ways to celebrate a milestone based on audience comments.
- Input: Positive comments related to a recent milestone or achievement.
- Content Strategy Development
- Prompt: Propose content ideas based on audience interests shown in these comments.
- Input: Range of comments across different posts or streams.
- Community Building Suggestions
- Prompt: Offer suggestions to build community based on these comments.
- Input: Comments showing audience interaction and community potential.
- Identifying Influencers
- Prompt: Identify potential influencers or key contributors from these comments.
- Input: Comments from a social media campaign or event.
- Personalized Response Crafting
- Prompt: Help craft personalized responses to these selected comments.
- Input: Selected comments requiring personalized responses.
- Crisis Management Advice
- Prompt: Provide crisis management advice based on these negative comments.
- Input: Comments indicating a PR crisis or major audience discontent.
- Cultural Trend Analysis
- Prompt: Analyze these comments for cultural trends or shifts.
- Input: Comments over a period indicating cultural or societal trends.
- Event-Specific Reaction Compilation
- Prompt: Compile audience reactions specific to this event or announcement.
- Input: Comments related to a particular event or announcement.
- Sponsorship Opportunity Identification
- Prompt: Identify comments suggesting sponsorship or partnership opportunities.
- Input: Comments mentioning brands products or partnership desires.
2. **Guidelines for analyzing social media comments.**
- Sentiment Analysis Cheat Sheet
- Content: A comprehensive guide or cheat sheet that includes key phrases, words, and linguistic patterns commonly associated with different sentiments and emotions. This could be used as a reference by the GPT to better understand and categorize comments.
- Comment Classification Framework
- Content: A structured framework or set of rules for classifying comments into categories such as questions, feedback, praise, criticism, etc. This would help in organizing comments for more efficient analysis.
- Trending Topics Keyword List
- Content: A regularly updated list of trending topics, keywords, and hashtags relevant to the content creator's niche. This could be used to identify emerging trends in the comments.
- Template for Report Generation
- Content: A template for generating structured reports including sections for overall sentiment, key themes, notable comments, and any concerning content. This would standardize the output making it more user-friendly.
- Common Emoji and Slang Reference
- Content: A reference list of commonly used emojis and internet slang along with their general meanings or sentiments. This can help the GPT in interpreting modern informal online communication styles.
- Guidelines for Real-Time Comment Analysis
- Content: A set of guidelines for analyzing comments in real-time, focusing on quick identification of sentiment trends, notable comments, and potential red flags.
- Customizable User Query Templates
- Content: Templates for content creators to use when querying the GPT about their audience comments. These templates can guide them in asking more specific questions to get the most relevant analysis.
- Audience Engagement Tips Sheet
- Content: A document with tips and strategies for engaging with different types of comments and sentiments, providing actionable advice to content creators based on the analysis.
- Case Studies of Effective Comment Analysis
- Content: A collection of case studies or examples demonstrating effective analysis of comments and how it led to improved content creator-audience interaction.
- Best Practices for Handling Negative or Toxic Comments
- Content: Guidelines and best practices for identifying, interpreting, and responding to negative or toxic comments in a constructive manner.
