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Move from limited set of options to larger randomized set of sentence constructions based on scraped patent information.
One Example Structure:
Person and possessive word + freshness of patent + type of patent + "#patent for" + audience reference + time of day
Person List:('We've got', 'We have')
Freshness: ('a brand new', 'an older', 'an ancient')
Type of Patent: ('#plant', '#mechanical')
Literal text --> '#patent for'
Audience Reference: ('you all', 'all of you', 'you lot')
Time of Day: ('this mornin', 'today', 'this evening')
Another sample to be iterated on:
"Today's #patent is Title_of_Patent_here. have you heard of it?"
The text was updated successfully, but these errors were encountered:
Move from limited set of options to larger randomized set of sentence constructions based on scraped patent information.
One Example Structure:
Person and possessive word + freshness of patent + type of patent + "#patent for" + audience reference + time of day
Person List:('We've got', 'We have')
Freshness: ('a brand new', 'an older', 'an ancient')
Type of Patent: ('#plant', '#mechanical')
Literal text --> '#patent for'
Audience Reference: ('you all', 'all of you', 'you lot')
Time of Day: ('this mornin', 'today', 'this evening')
Another sample to be iterated on:
"Today's #patent is Title_of_Patent_here. have you heard of it?"
The text was updated successfully, but these errors were encountered: