The role of Cryptography in today"s digital world is significant.It secures information mathematically by mangling message with key. The privacy of intended sender and receiver information is protected from eavesdropper. The objective of the paper is playfair cipher. The existing methods of playfair cipher are studied. The restrictions of earlier works a playfair cipher using 5X5 matrix, 7X4 matrix and 6X6 matrix are overcome in the proposed work. The proposed method plays a 16X16 matrix giving strength to playfair cipher. The proposed work is an enhancement to the existing algorithms that uses 16X16 matrix to pick cipher characters. It makes use of alphabets both lower and uppercase characters, number and special characters for constructing the contents of the matrix.

No abstract

No abstract

No abstract

The main objective of this paper is Analyze the reviews of Social Media Big Data of E-Commerce product's. And provides helpful result to online shopping customers about the product quality and also provides helpful decision making idea to the business about the customer's mostly liking and buying products. This covers all features or opinion words, like capitalized words, sequence of repeated letters, emoji, slang words, exclamatory words, intensifiers, modifiers, conjunction words and negation words etc available in tweets. The existing work has considered only two or three features to perform Sentiment Analysis with the machine learning technique Natural Language Processing (NLP). In this proposed work familiar Machine Learning classification models namely Multinomial Naïve Bayes, Support Vector Machine, DecisionTree Classifier, and, Random Forest Classifier are used for sentiment classification. The sentiment classification is used as a decision support system for the customers and also for the business.