Natural Language Processing: Text Categorization And Classifications

Natural Language Processing and Text Mining

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...

Current issues in biomedical text mining and natural language processing

The years since 1998 have seen an explosion in work in biomedical text mining (BioNLP) of both clinical text and the biomedical literature [1]. The work focusing on the literature has been particularly stimulated by three factors. One is simply the rapid increase in the rate of publication in general, as reflected in the growth in the contents of PubMed/MEDLINE, which has been exponential. Anot...

Current issues in biomedical text mining and natural language processing

The years since 1998 have seen an explosion in work in biomedical text mining (BioNLP) of both clinical text and the biomedical literature [1]. The work focusing on the literature has been particularly stimulated by three factors. One is simply the rapid increase in the rate of publication in general, as reflected in the growth in the contents of PubMed/MEDLINE, which has been exponential. Anot...

Cross - Platform Text Mining and Natural Language Processing Interoperability PROCEEDINGS

In the current technology dominated world, interoperability of systems managed by different organisations is an essential property enabling the provision of services at a global scale. In the Text and Data Mining field (TDM), interoperability of systems offering access to text corpora offers the opportunity of increasing the uptake and impact of TDM applications. The global corpus of all resear...