How computers learn to pick the best keyphrases from text
Ever wonder how a computer finds the few words that tell you what a long article is about, and, yes it can do that fast.
People use those short phrases as keyphrases to search, tag, or summarize pages and it saves lots of time.
Some tools try to do this by rules, but newer ways teach a computer from examples, so it learns patterns rather than follow hard rules.
The trick is to show many documents, mark good phrases, and let a learning algorithm decide which ones matter, though it won't always be perfect.
One special system called GenEx was built just for this, and it often makes better choices than general methods.
That means headlines, tags, or search highlights can be done automatic and quick, for blogs, libraries, or your files.
It's a small step but useful, and the next time you see a neat summary on your screen, you might smile and think - a machine learned that, not guessed.
Read article comprehensive review in Paperium.net:
Learning to Extract Keyphrases from Text
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