[rsmith49]

That depends on what you mean by noise. In the case of text classification, a lot of the noise in training is disagreement between human labelings. Unfortunately, classification systems will only be as good as the labels they are trained on.

However, if you are referring to noise as in typos and misspellings - then yes, depending on the training and/or preprocessing steps, classification systems could potentially reduce the noise in the input data to still achieve good results.

[MallikaSinha]

By noise I mean to say that overfitting your data which means it starts to take your wrong input data and plot the graph involving those input data as well. Anyway, I got your point. Thankyou