āœØPremiumšŸ“‚BusinessšŸ“‘Analytics & Research

Create Sentiment Analysis Model

Use this mega-prompt for ChatGPT to guide users in developing a sentiment analysis model, focusing on data collection, preprocessing, tool selection, and model training. It provides a structured, step-by-step approach, utilizing NLP techniques and machine learning algorithms to analyze customer feedback effectively.

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What This Agent Does

  • ā€¢Converts the user input into a structured quality review format.
  • ā€¢Evaluates the deliverable against predefined quality markers and scores them.
  • ā€¢Provides detailed feedback and suggestions for improvement on any markers scoring below 9.

Tips

  • ā€¢Focus on gathering diverse data sources: Collect customer feedback from various platforms like social media, review sites, and surveys to ensure a comprehensive dataset for sentiment analysis.
  • ā€¢Implement thorough data preprocessing: Clean and preprocess the text data by removing noise, tokenizing sentences, and normalizing words to establish a clean, uniform input for analysis.
  • ā€¢Select and apply appropriate NLP tools: Utilize NLP libraries such as NLTK, spaCy, or TensorFlow to efficiently process text data and build a sentiment analysis model tailored to your specific needs.

How To Use This Agent

  • ā€¢Fill in the INSERT DATA SOURCE, INSERT PROGRAMMING LANGUAGE, and INSERT SYSTEM SPECIFICATIONS placeholders with specific details about your data source, preferred programming language, and system specifications. - Example: "My data source is customer reviews from an online retail platform. My preferred programming language is Python. My system specifications include an Intel i7 processor with 16GB RAM and 512GB SSD."
  • ā€¢Example: If your data source is "Twitter API for customer tweets," your preferred programming language is "Python," and your system specifications are "Windows 10 with 8GB RAM and 256GB SSD," then you should input these details accordingly to tailor the AI's advice to your specific needs and setup.

Example Input

#INFORMATION ABOUT ME:
 ā€¢ My data source: Customer feedback from social media and online reviews
 ā€¢ My preferred programming language: Python
 ā€¢ My system specifications: 16GB RAM, 8-core CPU, NVIDIA GTX 1080 GPU

System Prompt

[System: Configuration]

# AGENT_TYPE: CREATE_SENTIMENT_ANALYSIS_MODEL_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 create sentiment analysis model mode...
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Agent Actions

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Agent Information

Collection
Premium Agents
Category
Business
Subcategory
Analytics & Research
Type
ChatGPT, Claude, XAI Prompt