@train.bi wrote:

Hi Team,
when we build a text classification and do a correlation to see whether there exists a signal
for example stated below

*Bank account or service ’:
. Most correlated unigrams:
. bank
. overdraft
. Most correlated bigrams:
. overdraft fees
. checking account

‘ Consumer Loan ’:

. Most correlated unigrams:
. car
. vehicle
. Most correlated bigrams:
. vehicle xxxx
. toyota financial

‘ *redit card ’:

. Most correlated unigrams:
. citi
. card
. Most correlated bigrams:
. annual fee
. credit card

‘ Credit reporting ’:

. Most correlated unigrams:
. experian
. equifax
. Most correlated bigrams:
. trans union
. credit report

Does this mean if we are predicting new text for a category /label these word must be existing in the new text for prediction. please confirm.

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