Aspect-based sentiment analysis using a hybridized approach based on CNN and GA

A Ishaq, S Asghar, SA Gillani - IEEE Access, 2020 - ieeexplore.ieee.org
Sentiment analysis is a computational analysis of unstructured textual data, used to assess
the person's attitude from a piece of text. Aspect-based sentimental analysis defines the …

Aspect-based sentiment analysis using deep networks and stochastic optimization

R Kumar, HS Pannu, AK Malhi - Neural Computing and Applications, 2020 - Springer
Sentiment analysis, also known as opinion mining, is a computational study of unstructured
textual information which is used to analyze a persons attitude from a piece of text. This …

Image-text interaction graph neural network for image-text sentiment analysis

W Liao, B Zeng, J Liu, P Wei, J Fang - Applied Intelligence, 2022 - Springer
As various social platforms are experiencing fast development, the volume of image-text
content generated by users has grown rapidly. Image-text based sentiment of social media …

A multimodal sentiment analysis approach for tweets by comprehending co-relations between information modalities

D Chakraborty, D Rudrapal, B Bhattacharya - Multimedia Tools and …, 2023 - Springer
With the popularity of smart devices and online social media platforms, people are
expressing their views in various modalities like text, images, and audio. Thus, recent …

Text-based sentiment analysis

VP Lijo, H Seetha - International Journal of Knowledge and …, 2017 - inderscienceonline.com
The impact of the social networks-based sentiment analysis (SA) and opinion mining has
increased in recent times. Decision-makers consider the opinions of the thought leaders and …

Aspect-based sentiment analysis using deep learning convolutional neural network

R Kumar, S Garg - … for Sustainable Development: Proceedings of ICT4SD …, 2020 - Springer
Sentiment analysis (known as opinion mining) is the computational study of unstructured
textual information regarding a person's perspective, attitudes, feeling, and emotions toward …

[HTML][HTML] Acoustic Prediction of a Multilateral-Well Unconventional Reservoir Based on a Hybrid Feature-Enhancement Long Short-Term Memory Neural Network

Y Hu, O Li, L Song, Z Liu, Q Zhang, H Wu… - Frontiers in Energy …, 2022 - frontiersin.org
Due to the complexity of unconventional reservoirs, logs obtained are often incomplete or
expensive, especially acoustic data, which can provide parameters for the necessary …

Research on real-time detection of fire protection facilities based on improved YOLOv3 algorithm

X Zhao, L Cheng, J Kuang, J Liu - 2020 39th Chinese Control …, 2020 - ieeexplore.ieee.org
The real-time detection of fire protection facilities hidden trouble is of great significance to
the prevention of fire. A real-time detection method for fire facility hidden trouble based on …

A context-aware analytics for processing tweets and analysing sentiment in realtime (short paper)

Y Taher, R Haque, M AlShaer… - On the Move to …, 2016 - Springer
Sentiment analysis has grown to become increasingly important for companies to more
accurately understand customer/supplier sentiments about their processes/products and …

[引用][C] Twitter sentiment analysis using machine learning and optimization techniques

P Bansal, R Kaur - International Journal of Computer Applications, 2018