Sentiment analysis classification system using hybrid BERT models
AS Talaat - Journal of Big Data, 2023 - Springer
Because of the rapid growth of mobile technology, social media has become an essential
platform for people to express their views and opinions. Understanding public opinion can …
platform for people to express their views and opinions. Understanding public opinion can …
Sentiment analysis of before and after elections: Twitter data of us election 2020
US President Joe Biden took his oath after being victorious in the controversial US elections
of 2020. The polls were conducted over postal ballot due to the coronavirus pandemic …
of 2020. The polls were conducted over postal ballot due to the coronavirus pandemic …
Sk2: Integrating implicit sentiment knowledge and explicit syntax knowledge for aspect-based sentiment analysis
Aspect-based sentiment analysis (ABSA) plays an indispensable role in web mining and
retrieval system as it involves a wide range of tasks, including aspect term extraction …
retrieval system as it involves a wide range of tasks, including aspect term extraction …
Analyzing perceptions of a global event using CNN-LSTM deep learning approach: the case of Hajj 1442 (2021)
MK Shambour - PeerJ Computer Science, 2022 - peerj.com
Hajj (pilgrimage) is a unique social and religious event in which many Muslims worldwide
come to perform Hajj. More than two million people travel to Makkah, Saudi Arabia annually …
come to perform Hajj. More than two million people travel to Makkah, Saudi Arabia annually …
[PDF][PDF] Aspect-Based Sentiment Analysis for Social Multimedia: A Hybrid Computational Framework.
People utilize microblogs and other social media platforms to express their thoughts and
feelings regarding current events, public products and the latest affairs. People share their …
feelings regarding current events, public products and the latest affairs. People share their …
Aspect based sentiment analysis using long-short term memory and weighted N-gram graph-cut
In the current domain, aspect-based sentiment analysis is a much-explored area in
sentiment classification. In this paper, an optimization method, Graph-Cut, is used first time …
sentiment classification. In this paper, an optimization method, Graph-Cut, is used first time …
Using graph representation learning with schema encoders to measure the severity of depressive symptoms
Graph neural networks (GNNs) are widely used in regression and classification problems
applied to text, in areas such as sentiment analysis and medical decision-making processes …
applied to text, in areas such as sentiment analysis and medical decision-making processes …
Prediction of futile recanalisation after endovascular treatment in acute ischaemic stroke: development and validation of a hybrid machine learning model
X Nie, J Yang, X Li, T Zhan, D Liu, H Yan… - Stroke and Vascular …, 2024 - svn.bmj.com
Background Identification of futile recanalisation following endovascular therapy (EVT) in
patients with acute ischaemic stroke is both crucial and challenging. Here, we present a …
patients with acute ischaemic stroke is both crucial and challenging. Here, we present a …
An innovative word embedded and optimization based hybrid artificial intelligence approach for aspect-based sentiment analysis of app and cellphone reviews
NL Devi, B Anilkumar, AM Sowjanya… - Multimedia Tools and …, 2024 - Springer
A one-grained problem in Natural Language Processing (NLP)," Aspect-Based Sentiment
Analysis (ABSA)" seeks to predict the sentiment polarity of several features in a sentence or …
Analysis (ABSA)" seeks to predict the sentiment polarity of several features in a sentence or …
[PDF][PDF] A conceptual model for decision support systems using aspect based sentiment analysis
Sentiment analysis and opinion mining is the most explored area of research where an
opinion has been analysed for better decision and recommendation. Currently this field has …
opinion has been analysed for better decision and recommendation. Currently this field has …