Distribution of Frequency Words Using Hierarchal Clustering Method in R

摘要

Due to acquisition of vast amount of digital data, which have been led to increases in the volume of data have been generated. The digital data may be human generated of machine generated format. Mining the human generated text content which is a process of extracting, interesting and hidden information in turn this will be used for future predictions and decision making process. Analysis of collection of text content and finding similarities exist between the text content and the set of documents. It can be referred to as the performing cluster analysis on text content. One of the most common applications that exist in the cluster analysis related to text contents is nothing but text mining. In this paper we have been focusing on mining on the customer review text content to extract hidden pattern and also identify the frequency of word distribution from the customer review dataset. We identified the frequency of the distribution of words in the text document using R.