The reported work is a description of our participation in the Classification of COVID19 tweets containing symptoms'' shared task, organized by the Social Media Mining for Health Applications (SMM4H)'' workshop. The literature describes two machine l
earning approaches that were used to build a three class classification system, that categorizes tweets related to COVID19, into three classes, viz., self-reports, non-personal reports, and literature/news mentions. The steps for pre-processing tweets, feature extraction, and the development of the machine learning models, are described extensively in the documentation. Both the developed learning models, when evaluated by the organizers, garnered F1 scores of 0.93 and 0.92 respectively.
