An Application of Neural Networks to Sequence Analysis and Genre Identification

This study borrowed sequence analysis techniques from the genetic sciences and applied them to a similar problem in email filtering and web searching. Genre identification is the process of determining the type or family of a given document. For example, is the document a letter, a news story, a horoscope, a joke, or an advertisement. Genre identification allows a computer user to further filter email and web sites in a way that is totally different than topic-based methods. This study presents original research in an application of neural networks to the genre identification problem. The data for the study came from a database constructed by the author and his colleagues. The data consisted of descriptive features and the genre classification, as judged by a human, from over 5000 different documents. Ten different genres were represented. The descriptive features consisted of 89 different measurements of each document such as average word length, the number of numeric terms, the prop...

• Type: Conference
• Year: 2004
• Where: FLAIRS
• Authors: David Bisant
• Keywords: Artificial Intelligence, FLAIRS 2004, Genre Identification, Genre Identification Problem, Neural Networks