MaNLP@SMM4H22: BERT for Classification of Twitter Posts

Keshav Kapur; Rajitha Harikrishnan

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arXiv · 2301.05395

MaNLP@SMM4H22: BERT for Classification of Twitter Posts

Keshav Kapur·Rajitha Harikrishnan

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Abstract

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

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Keshav Kapur, Rajitha Harikrishnan. 2022-12-12. MaNLP@SMM4H22: BERT for Classification of Twitter Posts. https://arxiv.org/abs/2301.05395

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