Sentiment Analysis System Diagram
This diagram shows the full pipeline of a sentiment analysis system, from raw text input to classified sentiment displayed on a dashboard. It's useful for documenting NLP projects or explaining the system to non-technical stakeholders. Tip: separate the training pipeline from the inference pipeline visually since they run on different schedules.
The prompt behind this diagram
Create a sentiment analysis system diagram showing Text Input Sources (social media posts, reviews), a Text Preprocessing step (tokenization, stop-word removal), a Feature Extraction module (embeddings/TF-IDF), a Sentiment Classification Model (positive/negative/neutral), a Confidence Scoring step, a Results Aggregation module, and a Dashboard displaying sentiment trends over time. Include a Model Training branch showing Labeled Training Data feeding into Model Training and Evaluation, which updates the classification model.
Paste your own description (or Terraform / docker-compose / SQL schema) into draft1 and get a diagram like this for your exact system.
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