Sentiment Analysis of Social Networking Services Data Using Fuzzy Sets and Logic

This paper is devoted to usage of fuzzy logic in sentiment analysis of social network comments. The main feature of our work is that we aim to provide not only novel algorithm for sentiment analysis, but also to approve the correctness of our method, we implemented a prototype application on iOS platform. Our target audience is bloggers, business owners, SMM managers, artists and even government workers. In today's world, huge value of information is created every day. However, all these data is unstructured, which means that, despite that Internet is a transparent platform for reading data, it is impossible to make sense out of big data. Using our application user will be able to access generalized public mood towards some topics from social network posts