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Sentiment Analysis

‘Sentiment analysis’ monitors conversations, blocks of text and evaluates language use and voice inflections to quantify attitudes, opinions, and emotions. It is also known as opinion mining or emotion AI.
While sentiment analysis is widely used in marketing fields (fill out our survey and be in with a chance to win), social media platforms have now become a huge source of opinion mining and the beauty of this approach is that participants don’t even know they are being analysed.

Comments on opinion pieces or news articles, emails, any blocks of written text, conversations and phone calls can all be analysed for their emotional content which provides important information when trying to ascertain the ‘mood’ about anything in particular.

Have you ever been told when you call a help desk that ‘this call may be recorded for evaluation purposes’? The conversation you have will be analysed for emotional content using a specially designed algorithm.
Data is processed to see whether it is positive, negative, or, neutral. These procedures are also used to systematically identify, extract, quantify, and study effective states and subjective information.

According to one survey, 80% of the world’s data is unstructured. With the use of algorithms, models and trends can be constructed to better understand and even predict the marketplace, which means profits.
Who would have thought that our emotional states would be of value but that is what they are and the collection and analysis of the sentiments and preferences that we express are making people large amounts of money.

Any social media platform collects and makes use of comments, images, memes and anything else it can glean. Even when the data is in the form of emoji, it can be analysed to detect whether a response is positive or negative and if we train ourselves to be neutral and have no particular emotional response, that is valuable too.

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