Text Classification in iOS using tensorflowlite [A How-To Guide]
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Text classification is task of categorising text according to its content. More general applications of text classifications are in email spam detection, sentiment analysis and topic labelling. For integrating text classification in iOS we will be using a pre-trained model on IMDB database. We will use tensorflowlite as outlaying machine learning inference engine. In its simplest form our app will take a sentence as input from user, feeds into classification client, that will classify text as either positive or negative depending on text content.