A survey of sentiment analysis: Approaches, datasets, and future research
Sentiment analysis is a critical subfield of natural language processing that focuses on
categorizing text into three primary sentiments: positive, negative, and neutral. With the …
categorizing text into three primary sentiments: positive, negative, and neutral. With the …
Sentiment analysis with ensemble hybrid deep learning model
The rapid development of mobile technologies has made social media a vital platform for
people to express their feelings and opinions. Understanding the public opinions can be …
people to express their feelings and opinions. Understanding the public opinions can be …
Robustness of models addressing Information Disorder: A comprehensive review and benchmarking study
Abstract Machine learning and deep learning models are increasingly susceptible to
adversarial attacks, particularly in critical areas like cybersecurity and Information Disorder …
adversarial attacks, particularly in critical areas like cybersecurity and Information Disorder …
Generating Effective Ensembles for Sentiment Analysis
In recent years, transformer models have revolutionized Natural Language Processing
(NLP), achieving exceptional results across various tasks, including Sentiment Analysis …
(NLP), achieving exceptional results across various tasks, including Sentiment Analysis …
Evaluation of Different Machine Learning Methods for Sentiment Analysis of Indian Languages
D Sharma - … and Optimization (Trends and Future Directions) …, 2024 - ieeexplore.ieee.org
The volume of information accessible via websites is consistently and substantially
increasing on a global scale. The primary issue is not the sharing of data but rather the …
increasing on a global scale. The primary issue is not the sharing of data but rather the …
Sentiment analysis on YouTube comments using feed forward neural network
R Yamini, G Ashwin, SH Prasad - AIP Conference Proceedings, 2024 - pubs.aip.org
YouTube is a popular online platform to upload, watch and share videos with others and has
evolved into a valuable tool for individuals and businesses to share and consume content. It …
evolved into a valuable tool for individuals and businesses to share and consume content. It …
Enhancing Film Discovery through Social Media Traces Using Sentiment Analysis and Machine Learning Combined Approach
A Boubekeur, F Benchikha… - 2024 21st Learning and …, 2024 - ieeexplore.ieee.org
Films have historically played a significant role in cultural expression and entertainment,
influencing global people and affecting society on various levels. In the contemporary era of …
influencing global people and affecting society on various levels. In the contemporary era of …
Spectral Pattern Learning Approach‐based Student Sentiment Analysis Using Dense‐net Multi Perception Neural Network in E‐learning Environment
LK Singh, R Renuga Devi - Applying Artificial Intelligence in …, 2024 - Wiley Online Library
E‐learning, a form of distance education in the realm of educational services, has witnessed
significant growth, particularly with the pervasive influence of internet technologies …
significant growth, particularly with the pervasive influence of internet technologies …
A Thorough Investigation of Conventional and Advanced Feature Extraction Methods in Natural Language Processing for Sentiment Analysis Employing SVM Kernels
A Srivastava, AK Srivastava, TJ Siddiqui - Proceedings of International …, 2023 - Springer
The development of numerous feature extraction techniques, ranging from conventional to
advanced, targeted at improving the accuracy of sentiment categorization, has been sparked …
advanced, targeted at improving the accuracy of sentiment categorization, has been sparked …