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 …
TripAdvisor Restaurant Customer Reviews Analysis in Bangkok, Thailand
N Pleerux, W Boonpook, A Chaiyo… - … Conference On Cyber …, 2023 - ieeexplore.ieee.org
There are currently a plethora of customer reviews online through websites such as
TripAdvisor that can be utilized to satisfy customer needs. This study examined TripAdvisor …
TripAdvisor that can be utilized to satisfy customer needs. This study examined TripAdvisor …
Sentiment analysis of IMDB movie reviews: a comparative study of Lexicon based approach and BERT Neural Network model
PSSV Domadula, SS Sayyaparaju - 2023 - diva-portal.org
Background: Movies have become an important marketing and advertising tool that can
influence consumer behaviour and trends. Reading film reviews is an im-important part of …
influence consumer behaviour and trends. Reading film reviews is an im-important part of …
Enhancing the Potential of Machine Learning for Immersive Emotion Recognition in Virtual Environment
Emotion recognition is an immense challenge for immersive technology. In order to detect
the emotions of the user, we use machine learning methods and techniques to use the …
the emotions of the user, we use machine learning methods and techniques to use the …
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 …
A Weighted Two-Level Ensemble Model for Sentiment Analysis of Finance Minister of Indonesia
WF Satrya, R Aprilliyani - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
The performance of ensemble learning depends on the performance of each weak learner.
Assuming all weak learners are equal may lead to poor results. Therefore, determining the …
Assuming all weak learners are equal may lead to poor results. Therefore, determining the …