A review on recent advances in deep learning for sentiment analysis: Performances, challenges and limitations
Now days the horizons of social online media keep expanding, the impacts they have on people are huge. For example, many businesses are taking advantage of the input from social media to advertise to specific target market. This is done by detecting and analyzing the sentiment (emotions, feelings, o...
Saved in:
Main Authors: | Islam, Md Shofiqul, Ngahzaifa, Ab. Ghani, Ahmed, Md Manjur |
---|---|
Format: | Article |
Language: | English |
Published: |
COMPUSOFT
2020
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/28974/1/A%20review%20on%20recent%20advances%20in%20deep%20learning.pdf http://umpir.ump.edu.my/id/eprint/28974/ https://ijact.in/index.php/ijact/article/view/1175 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A novel BiGRUBiLSTM model for Multilevel Sentiment Analysis Using Deep Neural Network with BiGRU-BiLSTM
by: Islam, Md Shofiqul, et al.
Published: (2021) -
Cloud-assisted gamification for education and learning – Recent advances and challenges
by: Hakak, Saqib Iqbal, et al.
Published: (2019) -
Survey on product review sentiment classification and analysis challenges
by: Himmat, Mubarak, et al.
Published: (2014) -
Advances in machine translation for sign language: approaches, limitations, and challenges
by: Farooq, Uzma, et al.
Published: (2021) -
Green industrial networking: Recent advances, taxonomy, and open research challenges
by: Ahmed, E., et al.
Published: (2016)