Main Article Content
Abstract
Customer purchasing ability refers to a customer’s capacity to buy the quantities of goods. High buying ability means a customer have good appetite to purchase and have a capacity to purchase the high rate things. Low buying power means a customer cannot afford to buy high rate products having not a good income.From a sentimental analysis we will try to figure out purchase power of customer from available data sources. Sentence level sentimental analysis checks whether a sentence has negative, positive or neutral opinion. Aspect level sentimental analysis do analysis on basis of sentiments present in a file and sentiment required for analysis. In our scenario, documental level sentimental analysis has been taken into account. In machine learning mostly two techniques are used for sentimental analysis are supervised learning and unsupervised learning. In first technique, datasets are labeled and trained data is used to show reasonable output that is used for decision making. In second technique, no labeled dataset is needed and they cannot be processed easily. To solve above issue, a new approach is used in current study analyzing based on parameters.