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

Table 2

Some of the title -grams with negative weights.

Feature	Weight
Preprocessed TI.[electrode_insertion]	-90.47
Preprocessed TI.[assessment]	-90.87
Preprocessed TI.[profound]	-92.07
Preprocessed TI.[stimulation_auditory]	-93.67
Preprocessed TI.[study]	-94.31
Preprocessed TI.[ganglion_neuron]	-96.39
Preprocessed TI.[implant_patient]	-99.88
Preprocessed TI.[nerve]	-103.80
Preprocessed TI.[congenital]	-106.46
Preprocessed TI.[early_cochlear]	-161.79
Preprocessed TI.[cochlear_implantation]	-164.26
Preprocessed TI.[child_use]	-172.33
Preprocessed TI.[implant_user]	-172.34
Preprocessed TI.[spiral]	-453.88
Preprocessed TI.[spiral_ganglion]	-453.88