The main difference between classification and text extraction, is that in classification the result may be a prediction of a label, tag or category, that usually is not present within the text and has to be predicted or induced from the text contents. On the other hand, the extraction gets particular data that can be found within the text.

For example, if you do sentiment analysis, you can categorize opinions as positiveeven if the word “positive” is not present in the text: it adds information to the text that has been categorized. If you do entity extraction to the same piece of text, you can get, for example, companies, locations or people mentioned within the text.

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