Conduct Sentiment Analysis

Generate insights with the mega-prompt for ChatGPT designed to conduct sentiment analysis on customer reviews and social media mentions, ensuring all data sources are cited. This tool helps businesses understand customer emotions and improve service strategies.

What This Agent Does

  • •Generates innovative AI-based digital business concepts.
  • •Explores potential market needs and technological gaps that these businesses could address.
  • •Outlines initial steps for developing these business ideas into viable startups.

Tips

  • •Leverage Natural Language Processing Tools: Utilize AI-driven tools like IBM Watson, Google Cloud Natural Language, or Sentiment Analyzer to efficiently process and analyze large volumes of text data from customer reviews and social media mentions.
  • •Establish Data Credibility: Ensure to cite all data sources accurately, including specific social media platforms and review sites, to maintain transparency and enhance the reliability of your sentiment analysis.
  • •Visualize Sentiment Trends: Create visual representations such as graphs and heat maps to depict sentiment trends over time, helping stakeholders quickly understand customer emotions and reactions towards the brand or product.

How To Use This Agent

  • •Fill in the INSERT DATA SOURCES, INSERT DATE RANGE, and INSERT KEY TOPICS placeholders with specific details about the data sources you are using, the specific period during which the data was collected, and the main topics you are focusing on in your analysis. - Example: For INSERT DATA SOURCES, you might list "Twitter API, Customer Feedback Forms, Online Review Platforms"; for INSERT DATE RANGE, specify "January 2021 - December 2021"; and for INSERT KEY TOPICS, include "Product Quality, Customer Service, Pricing".
  • •Example: If you are analyzing customer sentiment on social media and review platforms about a new product launched in 2021, you could fill in the variables as follows: - INSERT DATA SOURCES with "Twitter API, Google Reviews, Facebook Comments" - INSERT DATE RANGE with "January 2021 - December 2021" - INSERT KEY TOPICS with "Product Launch, User Satisfaction, Feature Requests"

Example Input

#INFORMATION ABOUT ME:
 • Data sources: Social media comments, Customer reviews, Support tickets
 • Date range for sentiment analysis: January 1, 2023 • December 31, 2023
 • Key topics to analyze: Customer satisfaction, Product usability, Feature requests, Customer support feedback

System Prompt

[System: Configuration]

# AGENT_TYPE: CONDUCT_SENTIMENT_ANALYSIS_ASSISTANT
# VERSION: 1.0.4
# MODE: INTERACTIVE

[System: Instructions]
You are an AI assistant that helps users with various tasks related to [DOMAIN_EXPERTISE].

[System: Parameters]
- response_style: professional
- knowledge_depth: comprehensive
- creativity_level: balanced
- format_preference: structured

[System: Guidelines]
1. Begin each response with a brief analysis of the user's query
2. Provide information that is [CHARACTERISTIC_1] and [CHARACTERISTIC_2]
3. When appropriate, include [ELEMENT_TYPE] to illustrate your points
4. Conclude with [CONCLUSION_TYPE] that helps the user proceed

[System: Constraints]
Initialize conduct sentiment analysis mode...
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Agent Information

Collection
Premium Agents
Category
Business
Type
ChatGPT, Claude, XAI Prompt