Ultimately a powerful concept. We examined its use with group meetings and focus groups, to gather important topic information, a kind of more focused crowdsourcing of information. Often aimed at specific goals. Also was sometime used with documents supporting the topics. Indeed a 'holy grail' if it can be done systematically and well. Below from KDNuggets:
This article will present the main approaches to text summarization currently employed, as well as discuss some of their characteristics.
The bona fide semantic understanding of human language text, exhibited by its effective summarization, may well be the holy grail of natural language processing (NLP). That statement isn't as hyperbolic as it sounds: as true human language understanding definitely is the holy grail of NLP, and genuine effective summarization of said human language would necessarily entail true understanding, transitivity would back me up on this.
Unfortunately — or perhaps not, depending on your outlook — honest to goodness "understanding" of human language is not something we can currently count on for text summarization. However, the show must go on, and there currently exist an array of actual techniques for summarizing text, some of which stretch back decades. These techniques take different approaches to reaching the same goal, and can be classified into a fairly narrow set of categories for pursuing their shared goal.
This article will present the main approaches to text summarization currently employed, as well as discuss some of their characteristics: ... '
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