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The reported work is our straightforward approach for the shared taskClassification of tweets self-reporting age organized by the Social MediaMining for Health Applications (SMM4H) workshop. This literature describes theapproach that was used to build a binary classification system, that classifiesthe tweets related to birthday posts into two classes namely, exactage(positive class) and non-exact age(negative class). We made two submissionswith variations in the preprocessing of text which yielded F1 scores of 0.80and 0.81 when evaluated by the organizers.

MaNLP@SMM4H22: BERT for Classification of Twitter Posts