Aspect-based sentiment analysis: A survey of deep learning methods
Sentiment analysis is a process of analyzing, processing, concluding, and inferencing
subjective texts with the sentiment. Companies use sentiment analysis for understanding …
subjective texts with the sentiment. Companies use sentiment analysis for understanding …
Sentiment Analysis of COVID-19 tweets by Deep Learning Classifiers—A study to show how popularity is affecting accuracy in social media
COVID-19 originally known as Corona VIrus Disease of 2019, has been declared as a
pandemic by World Health Organization (WHO) on 11th March 2020. Unprecedented …
pandemic by World Health Organization (WHO) on 11th March 2020. Unprecedented …
Fake profile detection on social networking websites: a comprehensive review
This article aims to summarize the recent advancement in the fake account detection
methodology on social networking websites. Over the past decade, social networking …
methodology on social networking websites. Over the past decade, social networking …
[HTML][HTML] Prediction of the customers' interests using sentiment analysis in e-commerce data for comparison of Arabic, English, and Turkish languages
In the business world, large companies that can achieve continuity in innovation gain a
significant competitive advantage. The sensitivity of these companies to follow and monitor …
significant competitive advantage. The sensitivity of these companies to follow and monitor …
Interpretable multimodal sentiment classification using deep multi-view attentive network of image and text data
IKS Al-Tameemi, MR Feizi-Derakhshi… - IEEE …, 2023 - ieeexplore.ieee.org
Multimodal data can convey user emotions and feelings more effectively and interactively
than unimodal content. Thus, multimodal sentiment analysis (MSA) research has recently …
than unimodal content. Thus, multimodal sentiment analysis (MSA) research has recently …
SA-ASBA: a hybrid model for aspect-based sentiment analysis using synthetic attention in pre-trained language BERT model with extreme gradient boosting
Aspect-based sentiment analysis (ABSA) is a granular-level sentiment analysis task that
aims to detect the sentiment polarities of a specified aspect in the text. This research shows …
aims to detect the sentiment polarities of a specified aspect in the text. This research shows …
Improving the performance of sentiment analysis using enhanced preprocessing technique and Artificial Neural Network
With the presence of a massive amount of digitally recorded data, an automated
computation can be preferable over the manual approach to evaluate sentiments within …
computation can be preferable over the manual approach to evaluate sentiments within …
[HTML][HTML] Develo** Turkish sentiment analysis models using machine learning and e-commerce data
M Demircan, A Seller, F Abut, MF Akay - International Journal of Cognitive …, 2021 - Elsevier
With the increment of Internet usage, there has been a significant increase in the access and
interaction of users in social media, blogs, forums, and criticism sites recently. With social …
interaction of users in social media, blogs, forums, and criticism sites recently. With social …
Panosent: A panoptic sextuple extraction benchmark for multimodal conversational aspect-based sentiment analysis
While existing Aspect-based Sentiment Analysis (ABSA) has received extensive effort and
advancement, there are still gaps in defining a more holistic research target seamlessly …
advancement, there are still gaps in defining a more holistic research target seamlessly …
Challenges and issues in sentiment analysis: A comprehensive survey
Sentiment analysis, a specialization of natural language processing (NLP), has witnessed
significant progress since its emergence in the late 1990s, owing to the swift advances in …
significant progress since its emergence in the late 1990s, owing to the swift advances in …