Fuzzy sentiment analysis using convolutional neural network

Sentiment analysis is one part of natural language processing. can be done by lexicon based, or machine learning based. based on has advantage dynamism to meet with new datasets vocabulary. seeks understand the sentiments contained in a sentence. A sentence positive, neutral negative, its sentiments. have negative However, fact each does not always sentiment clearly. We try develop method that show degree Fuzzy using convolutional neural network are introduced this paper produce more accurate results. Convolutional networks popular for analysis. The concept fuzzy sets used express Euclidean distance determine proximity two vectors better than standard method. we propose successfully produces value indicates Comparison euclid between results and our shows relatively close true value. proven able smoother methods.