PDF text classification to leverage information extraction from publication reports

Information extraction by text classification

Information extraction and text classification are usually seen as complementary forms of shallow text processing, in that they are aimed at very different tasks. In this paper, we describe two simple but real-world domains in which text classification techniques can be used directly for information extraction. Specifically, we describe systems for extracting information from business cards, an...

Information Extraction from Text

MIDAS: An Information-Extraction Approach to Medical Text Classification

This article describes MIDAS, an advanced expert system that is able to suggest medical diagnosis from the radiological/clinical patient records, based on information extraction and machine learning from clinical histories of previously diagnosed patients. MIDAS was designed to participate in the 2007 Medical Natural Language Processing Challenge. Specifically, it automates the assignment of IC...

Information extraction from biomedical text

Information extraction is the process of scanning text for information relevant to some interest, including extracting entities, relations, and events. It requires deeper analysis than key word searches, but its aims fall short of the very hard and long-term problem of full text understanding. Information extraction represents a midpoint on this spectrum, where the aim is to capture structured ...

Text Extraction from Pdf Image Using Enhanced Connected Component Labeling

This paper presents a new technique that greatly increases the speed of the connected component labeling algorithm. We propose a system to extract the text from the PDF images. This paper describes the system design based on text extraction method concentrating on text extraction from PDF images by enhancing the traditional connected component labeling as modified connected component labeling t...