i want to train luis ai with sufficient utterances uploaded through luis api -


i new luis ai.
train luis bot users wants buy books online. possible enter i want xyz, xyz book or i want abc, abc author. can write find, find out, search, searching, looking, would see, would find or want write.

my requirement begin excel-sheet utterances , entities , when upload it, click on train, application should trained enough handle such user input, @ least 90%.

the problem here how should write utterances handle huge probability of user input. have approx 65 utterances includes relevant , diverse utterance still not getting trained handle user input.

please suggest me how proceed utterances meet requirement.

scientist take 30 minutes of conversation or 200 utterances enough sample conduct research [1] order of magnitude estimate know , compare ourselves to.

now, variability of incoming utterances, 1 must find origin of similar requests. case, sites yahoo answers great finding usual structure of requests on topic work into. suggest find place people query similar objective: google adwords helper general solid start.

[1] http://www.scielo.br/scielo.php?pid=s1516-18462015000401143&script=sci_arttext&tlng=en


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