A Machine Learning Model to Predict Citation Counts of Scientific Papers in Otology Field

Table 6

Some of the abstract -grams with negative weights.

Feature	Weight
Preprocessed AB.[amplitude]	-77.38
Preprocessed AB.[regard]	-77.63
Preprocessed AB.[world]	-77.78
Preprocessed AB.[occur]	-78.17
Preprocessed AB.[normal]	-81.00
Preprocessed AB.[aid_condition]	-82.22
Preprocessed AB.[profound_deafness]	-82.57
Preprocessed AB.[child_use]	-82.95
Preprocessed AB.[potential_record]	-85.43
Preprocessed AB.[overall]	-87.01
Preprocessed AB.[child_implant]	-90.88
Preprocessed AB.[outcome]	-93.81
Preprocessed AB.[month_implantation]	-95.26
Preprocessed AB.[receptive]	-95.41
Preprocessed AB.[frequency_information]	-96.82
Preprocessed AB.[treat]	-96.91
Preprocessed AB.[distort]	-102.61
Preprocessed AB.[achieve]	-107.08
Preprocessed AB.[implant_year]	-111.90
Preprocessed AB.[post]	-117.16
Preprocessed AB.[old]	-117.89
Preprocessed AB.[site]	-124.55