how come accuracy_score recognizes the positive label and precision_score does not?

I am executing this code which works perfectly for me:

(I only have ‘positive’ and ‘negative’ sentiments):

from sklearn import metrics
print('Accuracy:',metrics.accuracy_score(test_sentiments, predicted_sentiments))  
print('Precision:',metrics.precision_score(test_sentiments, predicted_sentiments, pos_label='positive'))

My question is: how come accuracy_score recognizes the positive label and precision_score does not?

ps: if I execute:

print('Precision:',metrics.precision_score(test_sentiments, predicted_sentiments))

or

print('Accuracy:',metrics.accuracy_score(test_sentiments, predicted_sentiments, pos_label='positive')) 

They both fail.