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another technique which is these days synonymous with text analytics is sentiment analysis with sentiment analysis were trying to infer whether a person is happy or sad from the text that theyve written most sentiment analysis techniques look for words that indicate this so angry or annoyed would would indicate that it was a negative sentence were delighted might indicate its positive sentence this is a type of text classification model and you can think of this like your competence score often sentiment analysis will provide a -1 for a very negative sentence or positive one for a very positive sentence or anywhere in between unfortunately sentiment analysis isnt as accurate as you might hope research has suggested that even the best sentiment analysis tools out there only achieves somewhere in the region 65 to 70% accuracy this is because of a whole range different issues that make understanding text very difficult for a computer so the type of sentence that we might see a lot in
