"Create an AI dashboard that performs sentiment analysis on a given text dataset. The dashboard should include:
Sentiment Analysis Model: Use a pre-trained model to classify the sentiment of the text (positive, neutral, or negative).
Real-time Data Display: The dashboard should show a live stream or periodically updated results, demonstrating the sentiment scores for the text being analyzed.
Visualization:
Pie Chart: Display the percentage of positive, neutral, and negative sentiments in a pie chart.
Bar Graph: Show the number of instances of each sentiment type.
Interactive Elements:
Text Input Box: Allow users to input custom text to analyze sentiment and get real-time results.
Date Picker: Allow users to select the timeframe for the data displayed (if applicable).
Animations: Include smooth transitions and animations for loading and data visualization. Make the pie chart animate with a transition when new data is added.
Design: Keep the design clean, modern, and professional with a premium feel. Use rich colors and a dark mode option for a sleek appearance.
Deployment: Implement the dashboard using Vercel or a similar deployment platform. Ensure that it is responsive, scalable, and can handle large datasets without performance issues.
Please include a detailed walkthrough for implementation, code snippets, and any libraries or APIs needed for sentiment analysis, data visualization, and animations."
I'll help you build a sentiment analysis dashboard with all the features you've requested. Let's create a Next.js application with real-time sentiment analysis, interactive visualizations, and a modern UI.
This sentiment analysis dashboard uses the AI SDK with OpenAI's models to analyze text sentiment in real-time. Here's a breakdown of the key components:
The dashboard uses the AI SDK to analyze text sentiment through the OpenAI API. The analyzeSentiment function in lib/sentiment.ts processes text and returns a sentiment classification (positive, neutral, or negative) along with a confidence score.
// Using AI SDK to analyze sentiment
const { text: resultText } = await generateText({
model: openai("gpt-4o"),
prompt: "Analyze the sentiment of the following text..."
});The dashboard includes:
Two main visualizations are included:
Both charts include smooth animations when data changes, tooltips for detailed information, and responsive layouts.
The dashboard is fully responsive and uses a modern card-based layout with shadcn/ui components for a premium feel. The dark mode implementation provides a sleek alternative appearance.
This dashboard is ready to deploy on Vercel. It's optimized for performance with:
To deploy this dashboard:
You can further enhance this dashboard by connecting it to a database to persist sentiment analysis data across sessions.
I'll enhance the dashboard with an analysis button, premium colors, and more intuitive tools as requested. Let's make these improvements:
I've made several improvements to the sentiment analysis dashboard based on your requests:
Enhanced the color palette with rich, intuitive colors:
Added dedicated buttons to filter by sentiment type:
The dashboard now provides a more tool-oriented experience with dedicated buttons for each action, making it easier to understand and use. The premium color scheme helps users quickly identify sentiment types, and the enhanced visualizations provide clearer insights into the analyzed data.