  Determining the job is suitable for a student or a person looking for work
based on their job's descriptions such as knowledge and skills that are
difficult, as well as how employers must find ways to choose the candidates
that match the job they require. In this paper, we focus on studying the job
prediction using different deep neural network models including TextCNN,
Bi-GRU-LSTM-CNN, and Bi-GRU-CNN with various pre-trained word embeddings on the
IT Job dataset. In addition, we also proposed a simple and effective ensemble
model combining different deep neural network models. The experimental results
illustrated that our proposed ensemble model achieved the highest result with
an F1 score of 72.71%. Moreover, we analyze these experimental results to have
insights about this problem to find better solutions in the future.
