NOVEL APPROACH FOR TEXT COMPRESSION

COMPUTER ENGINEERING

Generally, textual data sets are represented by using different models. But, sometimes it does not capture the text arrangement as it is. Vector space model is also recognized as the bag of word model. To represent textual document using vector space model is based on most text mining methods. This model cannot maintain the text structure as it is. Compression distances are the most widely used technique for the purpose of knowledge discovery and mining of data also to improve the performance metric. Compression distance technique is for measuring the similarity between two documents. By applying Distortion technique which is for purpose of destroys the text structure. A distortion technique removes nonrelevant words as well as maintains the text structure. The NCD i.e. normalized compression distance technique gives the structural similarity between text documents. By applying a detailed word removal method clustering accuracy can be enhanced. In proposed system, JPG encoding is the technique that converts text into pixels of an image. The technique to convert text into pixels of an image. JPG encoding technique wherein an image pixel contains the values of RGB. So, it greatly reduces the size of the document. Each pixel value assigns an equivalent English letter of the same byte value where each pixel contains 3 letters. To reduce the size of text documents, For getting the lossless compression, Encodes the text document in term of image format.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.