Sentiment analysis using deep learning architectures: a review

A Yadav, DK Vishwakarma - Artificial Intelligence Review, 2020‏ - Springer
Social media is a powerful source of communication among people to share their sentiments
in the form of opinions and views about any topic or article, which results in an enormous …

Transformer fault prognosis using deep recurrent neural network over vibration signals

A Zollanvari, K Kunanbayev… - IEEE Transactions …, 2020‏ - ieeexplore.ieee.org
Vibration analysis is considered as a cost-efficient and nondestructive technique to monitor
the transformer operating conditions and evaluate the transformer mechanical integrity. This …

Sentiment analysis using gated recurrent neural networks

S Sachin, A Tripathi, N Mahajan, S Aggarwal… - SN Computer …, 2020‏ - Springer
Text sentiment analysis is an important and challenging task. Sentiment analysis of
customer reviews is a common problem faced by companies. It is a machine learning …

Refined global word embeddings based on sentiment concept for sentiment analysis

Y Wang, G Huang, J Li, H Li, Y Zhou, H Jiang - Ieee Access, 2021‏ - ieeexplore.ieee.org
Sentiment Analysis is an important research direction of natural language processing, and it
is widely used in politics, news and other fields. Word embeddings play a significant role in …

Multimodal sentiment analysis via RNN variants

A Agarwal, A Yadav… - 2019 IEEE International …, 2019‏ - ieeexplore.ieee.org
Multimodal sentiment analysis involves the classification of sentiment by using different
forms of data together, namely, text, audio, and video. Previously sentiment analysis was …

Survey of sentiment analysis using deep learning techniques

MI Prabha, GU Srikanth - 2019 1st international conference on …, 2019‏ - ieeexplore.ieee.org
This paper presents a detailed review of deep learning techniques used in Sentiment
Analysis. Sentiment analysis is one of the most researched areas in natural language …