PDF to Text Converter using Natural Language Processing Approach

PDF to Text Converter using Natural Language Processing Approach

Nishu Kumari, Akanksha Singh

Computer Science and Engineering, Chandigarh University

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Abstract - Extracting text from PDF documents is a challenging task that requires high accuracy and consistency, particularly when dealing with academic literature. While numerous systems are available, many fail to deliver satisfactory performance. This is a significant problem for researchers involved in text mining and project analysis, as they require a reliable tool for converting PDFs to text. In this paper, we propose a Natural Language Processing-based PDF-to-text (NLPDF) conversion system that consists of two major steps: extracting content from the PDF and reconstructing the text. We evaluate the performance of our system using four metrics: Precision, Recall, F-Measure (AF), and standard deviation. We compare our system with eight other benchmarked systems currently available in the market. The experimental results clearly demonstrate the effectiveness of our proposed system.

Key Words: PDF-to-Text Conversion, Natural Language Processing, Edit Distance.