Text Classification by using Natural Language Processing

Text Classification using Language-independent Pre-processing

A number of language-independent text pre-processing techniques, to support multi-class single-label text classification, are described and compared. A simple but effective statistical keyword identification approach is proposed, coupled with a number of phrase identification mechanisms. Experimental results are presented.

Web Text Corpus for Natural Language Processing

Web text has been successfully used as training data for many NLP applications. While most previous work accesses web text through search engine hit counts, we created a Web Corpus by downloading web pages to create a topic-diverse collection of 10 billion words of English. We show that for context-sensitive spelling correction the Web Corpus results are better than using a search engine. For t...

Natural Language Processing and Text Mining

Suicide Note Classification Using Natural Language Processing: A Content Analysis.

Suicide is the second leading cause of death among 25-34 year olds and the third leading cause of death among 15-25 year olds in the United States. In the Emergency Department, where suicidal patients often present, estimating the risk of repeated attempts is generally left to clinical judgment. This paper presents our second attempt to determine the role of computational algorithms in understa...

Investigating classification for natural language processing tasks

This thesis investigates the application of classification techniques to four natural language processing (NLP) tasks. The classification paradigm falls within the family of statistical and machine learning (ML) methods and consists of a framework within which a mechanical ‘learner’ induces a functional mapping between elements drawn from a particular sample space and a set of designated target...