@inproceedings{kapur-etal-2022-manlp,
    title = "{M}a{NLP}@{SMM}4{H}{'}22: {BERT} for Classification of {T}witter Posts",
    author = "Kapur, Keshav  and
      Harikrishnan, Rajitha  and
      Singh, Sanjay",
    editor = "Gonzalez-Hernandez, Graciela  and
      Weissenbacher, Davy",
    booktitle = "Proceedings of the Seventh Workshop on Social Media Mining for Health Applications, Workshop {\&} Shared Task",
    month = oct,
    year = "2022",
    address = "Gyeongju, Republic of Korea",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2022.smm4h-1.12/",
    pages = "42--43",
    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."
}