Web Scraping & NLP on PDFs

Context: Academic research at IIM Indore requiring extraction and analysis of text from PDF‑based research papers for topic‑specific corpora.

Challenge: Research papers were locked in PDF format with inconsistent layouts, embedded images, and varying quality. Needed to extract clean text and identify dominant terms within specific research domains.

Solution: Built an end‑to‑end pipeline:

• Web scraping to collect PDFs from academic sources
• OCR (Optical Character Recognition) to extract text from scanned pages
• NLP pipelines to clean, tokenize, and preprocess text
• Applied TF‑IDF and frequency analysis to identify dominant terms within topic‑specific corpora

Outcome: Delivered structured, searchable corpora for academic analysis, enabling researchers to quickly identify key themes, trends, and patterns across large document collections.