Algorithm For Classification Of Textual Documents Represented By Tandem Analysis
published: Dec. 1, 2014, recorded: October 2014, views: 1643
Report a problem or upload filesIf you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
In this research is presented algorithm for classification of textual documents which are represented in the space of reduced dimension in respect to original bag of words representation. Algorithm is carried out in two steps: in the first step classification is conducted for documents represented in original bag of words representation, while in the second step classification is conducted for documents represented in the space of reduced dimension. Reduction of dimensionality is obtained also in two steps: in the first step documents are represented by usage of latent semantic indexing, while in the second step this representation is projected on the space of membership matrix defining a membership of documents in classes. Evaluation of algorithm is conducted on Reuters21578 collection of documents.
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !