Sentiment analysis is the automated analysis of content like text or speech as positive, neutral or negative. That positive or negative analysis can be considered looking at the polarity of the words and a result of sentiment analysis is often a polarity score. This type of scoring allows organizations to better understand how constituents see them. This might mean analyzing Twitter or Facebook, tagging a sentiment score on blog posts or comments on posts.  Using technology like sentiment analysis we get insight into how clients and employees see products, the company, support cases, or services. This is usually done using natural language processing part of a body of work we…