Irony and Sentiment detection is important to understand people's behavior and thoughts. Thus it has become a popular task in natural language processing (NLP). This paper presents results and main findings in WANLP 2021 shared tasks one and two. The
task was based on the ArSarcasm-v2 dataset (Abu Farha et al., 2021). In this paper, we describe our system Multi-headed-LSTM-CNN-GRU and also MARBERT (Abdul-Mageed et al., 2021) submitted for the shared task, ranked 10 out of 27 in shared task one achieving 0.5662 F1-Sarcasm and ranked 3 out of 22 in shared task two achieving 0.7321 F1-PN under CodaLab username rematchka''. We experimented with various models and the two best performing models are a Multi-headed CNN-LSTM-GRU in which we used prepossessed text and emoji presented from tweets and MARBERT.
The study deals with the aesthetics of poetic language as the most
prominent object of the literary interplay in the prose text of the
writers, preachers and apostles of the Umayyad period.
This study considers the meaning of this term from all
perspectives: It is mature, dimensions, mechanisms and types
because it is closely associated with poetry, and artistic experience,
and with the existential comprehension related to the world
matters
as a whole, which depends on the principle of twin elements and
their antagonistic relations. This style has appeared in the poetry of
the Islamic conquests in early Islam.