I was wondering if somehow (maybe with an aglorithm) a submitted text like the one below can be summarized (removing the common words)
Scarlet and blue have featured on the club shirt for more than one
hundred years and the club is widely known as the ‘Blaugrana’ in
reference to the names of these colours in the Catalan language.
but when it is asked, to make use of the saved data and return an understandable content. Maybe not the same but something that you easily understand.
Will this make use of artificial intelligence ? What methods are today that doing this ?
Update (to clear things up):
I want to know how does a computer can connect keywords to provide an understandable content. For example "Scarlet, blue, club, shirt" to be returned like "Scarlet and blue are the club shirt"
There are 2 different tasks:
To accomplish both of them you have to use some meaningful text representation between (1) and (2). The best option I can think of is using ontologies. First extract facts from free text and put them into ontology, then generate text from this ontology. Something like this. Anyway, you need to extract facts, not keywords.