Nowadays, people prefer electronic media and internet generated reviews for taking any sort of decisions. Sentimental Analysis helps to know about the real opinion of different people regarding specific product, company, movies, news, any object and their attributes. It includes number of different branches like natural language processing, machine learning, text mining etc. By using these techniques and models, data is classified in the form of news articles, blogs, tweets, online reviews etc. into the positive, negative or neutral sentiments. Facebook is a kind of micro-blogging social networking site consisting of billions of users in these days. we have used R studio environment that offers number of packages to analyse data, graphics designing etc. However, R language is mostly used for the statistical problems.
K-Nearest neighbour classifiers are defined by their characteristic of classifying unlabelled examples by assigning them the class of the most similar labelled examples. Despite the simplicity of this idea, nearest neighbour methods are extremely powerful. They have been used successfully for: • Computer vision applications, including optical character recognition and facial recognition in both still images and video • Predicting whether a person enjoys a movie which he/she has been recommended (as in the Netflix challenge) • Identifying patterns in genetic data, for use in detecting specific proteins or diseases
Human vision is more sensitive to colour than Gray levels. Therefore, colour image processing is important, although it requires more memory to store and longer execution times to process. There are different colour models, and each one is suitable for some application. In the RGB model, a colour image is expressed in terms of the intensities of its red, green, and blue components. In the HSI model, the intensity component is separated from the colour components.
The data scientists at big mart have collected sales data of 2013 for a number of products across 10 stores in different cities. In this study they have analysed the attributes of each product and store and then build a model which finds out the sale of each product at a particular store.
Image compression has been minimising the size in bytes of a graphics file without degrading the quality of the image to an unacceptable level. The reduction in file size allows more images to be stored in a given amount of disk or memory space. It also reduces the time required for images to be sent over the Internet or downloaded from Web pages.