K.v Krishnamraju,
Volume 31, Issue 2 (IJIEPR 2020)
Abstract
Now a days majority of commerce is taken place in electronic form. The e commerce transactions can be happened mainly in three forms. They are C2C(customer to customer), B2B(Business to business) and B2C(business to customer). Out of these B2C type of e-commerce is the most important one. Therefore there is a need of a secure protocol for performing B2C type of e-commerce transactions. The B2C type the main participating entities are customers, website and merchant. In this paper the communication between the website and merchant is represented by WM protocol. The design of WM protocol must consider several issues like problem definition, services, environment, vocabulary and message formats. The verification of WM protocol is also performed with respect to the protocol procedure rules based on linear temporal logic. The procedure rules related to the protocol is specified in process meta language. The verification is performed by using SPIN model checker and corresponding results are reported.
P Subbaraju, K. Chandra Sekhar, P.r.s.s.v. Raju, K. Satyanarayana Raju, M. K. S. Varma,
Volume 31, Issue 2 (IJIEPR 2020)
Abstract
Nowadays, data are the food for the digital world. The main rich sources for data generated by social networks such as Twitter, Face book, Instagram, and LinkedIn. The data generated from micro-blogging services are plays a vital role in business intelligence like product reviews, movie reviews, election results prediction by social media data analysis. Sentiment analysis (SA) is the key method of predicting netizens emotions behind the text expressed in social media. The main motto of this survey to give complete idea about tools and the techniques used in Sentiment Analysis and the relevant fields with brief details.
