With keyword extraction you can find the most important words and phrases in massive datasets in just seconds. For example, this online name extractor automatically pulls out names from text.Įxplore other types of keyword extraction when you sign up to MonkeyLearn for free. Other types of keyword extraction include named entity recognition, which involves extracting entities (names, location, email addresses) from text. Try out this free word cloud generator now to see how you can extract important keywords from your text. The more a word or phrase appears in the text, the larger it will be in the word cloud visualization. That way, you can easily and automatically see what your customers are mentioning most often, saving your teams hours upon hours of manual processing. Keyword extraction helps you sift through the whole set of data and obtain the words that best describe each review in just seconds. Imagine you want to analyze thousands of online reviews about your product. It’s used to find keywords from all manner of text: regular documents and business reports, social media comments, online forums and reviews, news reports, and more.
Keyword extraction uses machine learning artificial intelligence (AI) with natural language processing (NLP) to break down human language so that it can be understood and analyzed by machines. It helps summarize the content of texts and recognize the main topics discussed. Keyword extraction (also known as keyword detection or keyword analysis) is a text analysis technique that automatically extracts the most used and most important words and expressions from a text.
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