Domain Independent Natural Language Processing -- A Case Study for Hospital Readmission with COPD
Ankur Agarwal, Ravi S. Behara, Sirish Mulpura, Vivek Tyagi · 2014
Natural language processing is a field of computer science, which focuses on interactions between computers and human (natural) languages. The human languages are ambiguous unlike Computer languages, which make its analysis and processing difficult. Most of the data present these days is in unstructured form (such as: Accident reports, Patient discharge summary, Criminal records etc), which makes it hard for computers to understand for further use and analysis. This unstructured text needs to be converted into structured form by clearly defining the sentence boundaries, word boundaries and context dependent character boundaries for further analysis. This paper proposes a component-based domain-independent text analysis system for processing of the natural language known as Domain-independent Natural Language Processing System (DINLP). Further the paper discusses the system capability and its application in the area of bioinformatics through the case study.