Natural language text parsing for social network user sentiment analysis based on fuzzy sets

The article introduces natural language text parsing algorithm for social network user sentiment evaluation within proposed technique based on fuzzy sets. The paper contains experimental data and shows the steps of text parsing algorithm and calculation of algorithm accuracy on messages on a certain topic. Application of proposed algorithm and technique is demonstrated on experimental data from Twitter social network.