NLP algorithms for real-world sentiment analysis

Show HN: NLP algorithms for real-world sentiment analysis

NLP algorithms for real-world sentiment analysis is a business in show hn launch.

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Understanding customer feelings is very important for growing your business.Sentiment analysis helps to get insights and enhance the customer experience.There are NLP algorithms that helps you to classify people's emotions.1/ Naïve BayesThis technique is based on Bayes Theorem, a conditional probability model.Basically, a Naïve Bayes classifier assumes the features are independent.2/ SVMIt classifies text by finding a line or plane that separates data points into different groups.These points are called support vectors.This algorithm is good at dealing with noisy data.3/ Deep learningIt is used very successful in classifying text.Common algorithms are Recurrent neural networks (RNNs), Word2V

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