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Machine learning for Sentiment Analysis can be very difficult, as there are many different factors or challenges to consider. Machine learning is a branch of machine learning used to determine whether a sentence, or block of text, is positive, negative, or neutral. This type of analysis uses contextual mining that determines the social sentiment of what a block is trying to convey. One challenge is comparing a neutral statement to a statement that may be difficult to detect, such as if a person is optimistic or pessimistic. Social media monitoring services, for example, could also be used to find honest opinions about products.