Sher Muhammad Daudpota1, Saif Hassan1, Yazeed Alkhurayyif2,*, Abdullah Saleh Alqahtani3,4, Muhammad Haris Aziz5
CMC-Computers, Materials & Continua, Vol.76, No.2, pp. 1409-1422, 2023, DOI:10.32604/cmc.2023.034157
Abstract The Internet revolution has resulted in abundant data from various
sources, including social media, traditional media, etcetera. Although the
availability of data is no longer an issue, data labelling for exploiting it in
supervised machine learning is still an expensive process and involves tedious
human efforts. The overall purpose of this study is to propose a strategy
to automatically label the unlabeled textual data with the support of active
learning in combination with deep learning. More specifically, this study
assesses the performance of different active learning strategies in automatic
labelling of the textual dataset at sentence and document levels. To… More >
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