GettingTheFeels is an open-source Python AI agent leveraging OpenAI’s GPT models to analyze the emotional tone of provided text. It classifies content into emotions such as joy, sadness, anger, fear, and surprise, delivering structured JSON with sentiment scores. Developers can integrate it into chatbots, Slack, Discord, or web applications to automatically detect emotional nuances and tailor responses or moderation.
Data Analysis
Information Processing
Document Processing
#emotion detection
#sentiment analysis
#text classification
#AI Emotion Recognition
#real-time sentiment
#emotion scoring
#sentiment percentage
#GPT-4 integration
#chatbot emotional intelligence
#Customer Support AI
#social media emotion tracking
#user feedback analysis
#sentiment API
#open-source AI tools
#text sentiment parsing
#custom emotion models
#Emotion Analytics
#Python AI applications
#AI in user experience
#emotional insights
...
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GettingTheFeels
GettingTheFeels is an open-source Python AI agent leveraging OpenAI’s GPT models to analyze the emotional tone of provided text. It classifies content into emotions such as joy, sadness, anger, fear, and surprise, delivering structured JSON with sentiment scores. Developers can integrate it into chatbots, Slack, Discord, or web applications to automatically detect emotional nuances and tailor responses or moderation.
Data Analysis
Information Processing
Document Processing
#emotion detection
#sentiment analysis
#text classification
#AI Emotion Recognition
#real-time sentiment
#emotion scoring
#sentiment percentage
#GPT-4 integration
#chatbot emotional intelligence
#Customer Support AI
#social media emotion tracking
#user feedback analysis
#sentiment API
#open-source AI tools
#text sentiment parsing
#custom emotion models
#Emotion Analytics
#Python AI applications
#AI in user experience
#emotional insights
...
Featured
What is GettingTheFeels?
GettingTheFeels is a Python-based AI agent designed to detect and quantify emotions within any text input. By using OpenAI’s GPT-4 or GPT-3.5 models, it breaks down text into categories like joy, sadness, anger, fear, surprise, and more, assigning real-time sentiment percentages. The agent outputs machine-readable JSON with detailed emotion scores, supports custom model selection, threshold settings, and integrates via simple API calls or function imports. It enables developers to embed advanced emotional insight into chatbots, customer support tools, social media monitors, and user feedback platforms with minimal setup.
Who will use GettingTheFeels?
- Software developers
- AI researchers
- Customer service teams
- UX/UI designers
- Content moderators
How to use the GettingTheFeels?
- Step1: Clone the GettingTheFeels repository from GitHub.
- Step2: Install Python dependencies using pip install -r requirements.txt.
- Step3: Create and configure your OpenAI API key in config.json.
- Step4: Import the analyze_emotion function or run the CLI script.
- Step5: Pass text input to the agent to receive JSON emotion scores.
- Step6: Integrate results into your application or workflow.
Platform
- mac
- windows
- linux
GettingTheFeels's Core Features & Benefits
The Core Features
- Emotion classification into multiple categories
- Sentiment scoring with percentage outputs
- JSON-formatted results for easy parsing
- Support for GPT-4 and GPT-3.5 models
- Customizable thresholds and model parameters
- CLI and Python API integration
The Benefits
- Enhances emotional intelligence in apps
- Facilitates real-time sentiment analysis
- Easy integration into existing systems
- Open-source and extensible
- Supports multiple deployment platforms
GettingTheFeels's Main Use Cases & Applications
- Chatbot emotional response tuning
- Customer feedback sentiment monitoring
- Social media emotion tracking
- Content moderation and compliance
- Market research and survey analysis
FAQs of GettingTheFeels
GettingTheFeels Company Information
- CasperHesp
GettingTheFeels Reviews
5/5
GettingTheFeels's Main Competitors and alternatives?
- IBM Watson Tone Analyzer
- Google Cloud Natural Language API
- Microsoft Azure Text Analytics
- ParallelDots Emotion Analysis API
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