Making use of sentiment analysis

The analysis of texts to determine the writers' or speakers' opinion and attitude expressed, and how the results can be used. Sentiment analysis is also known as opinion mining. In its simplest form, it's a way of determining how positive or negative the content of a text document is, based on the relative numbers of words it contains that are classified as either positive or negative. Positive words would include words such as'amazing', 'friendly', 'clean', 'exceeded', and'prompt'. Negative words could be words like'scam', 'unprofessional', 'rude', 'refund', and'incompetent'.