These contain a very low amount of lexical variants and misspellings, and because of that using lexical normalisation techniques can lead to false positives in the substitution process, thus decreasing the performance of the polarity classifier.
the microblog dataset is substantially more informal, so the application of normalisation techniques has a positive impact in the classification results.