NaturalLanguage
Found 3 articles in the Swift Knowledge Base for this category.
How to find similar words for a search term
iOS gives us the ability to search for similar words for a term by using word embeddings, which are maps of strings created using machine learning that describe how similar various words are in terms of their meaning. This kind of thing is useful when handling user searches: you might have tagged a photo with “hat”, but your user searched for “sombrero” – word embeddings let us find similar words, and we can then use those variations for data searches.... Continue Reading >>
How to lemmatize text using NLTagger
Apple’s NaturalLanguage framework is able to lemmatize text for us, which is the process of converting words to the forms you would find in a dictionary – making plural nouns singular, finding the root forms of conjugated verbs, and so on, while also taking into account the context in which they are used.... Continue Reading >>
How to perform sentiment analysis on a string using NLTagger
Sentiment analysis uses machine learning to tell us whether a piece of text is considered positive or negative, and it’s baked right in to iOS with the NaturalLanguage framework.... Continue Reading >>
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This is part of the Swift Knowledge Base, a free, searchable collection of solutions for common iOS questions, all written for Swift.
