Project Case Study

AI Research & Sentiment Analysis

Real-timePipeline

Pipeline Architecture

Processing thousands of research papers requires a robust, scalable pipeline. Our system ingests PDFs, parses structure, and feeds standard text chunks into a multi-stage NLP analyzer using parallel processing workers.

  1. Ingestion OCR and layout analysis of PDF documents.
  2. Vectorization Creating embeddings for semantic search.
  3. Sentiment Engine Aspect-based sentiment analysis on key findings.

Why Real-time Matters

Academic and market sentiments shift rapidly. A static report is obsolete by the time it is published. Our real-time dashboard updates the moment new papers are indexed, giving researchers an immediate pulse on the scientific community's direction.