Date of Publication :15th September 2017

Abstract: The paper presents a methodology used for sentiment analysis. Data to be analyzed will be extracted from social media sites like twitter. Feature extraction will be done using support vector machine. Instance selection will be done using genetic algorithm operators: Selection, crossover and mutation operators. Classification of sentiments will be done using back propagation neural network technique. Training and testing phase evaluates various performance parameters: False Rejection Rate, False Acceptance Rate and Accuracy.

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