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Authorship Attribution in Bangla Literature (AABL) via Transfer Learning using ULMFiT
Moreover, we introduce the publicly available Bangla Authorship Attribution Dataset of 16 authors (BAAD16) containing 17, 966 sample texts and 13. 4+ million words to solve the standard dataset scarcity problem and release six variations of pre-trained language models for use in any Bangla NLP downstream task.
A Continuous Space Neural Language Model for Bengali Language
Language models are generally employed to estimate the probability distribution of various linguistic units, making them one of the fundamental parts of natural language processing.
A Subword Level Language Model for Bangla Language
Language models are at the core of natural language processing.
Sentiment Analysis of Comments on Rohingya Movement with Support Vector Machine
Refugee movement is a recurring event and a large amount of data in the form of opinions remains on social media such as Facebook, with very little analysis done on them. To analyse the comments based on all Rohingya related posts, we had to create and modify a classifier based on the Support Vector Machine algorithm.
