Sentiment analysis: A survey on design framework, applications and future scopes
M Bordoloi, SK Biswas - Artificial intelligence review, 2023 - Springer
Sentiment analysis is a solution that enables the extraction of a summarized opinion or
minute sentimental details regarding any topic or context from a voluminous source of data …
minute sentimental details regarding any topic or context from a voluminous source of data …
Challenges and future in deep learning for sentiment analysis: a comprehensive review and a proposed novel hybrid approach
Social media is used to categorise products or services, but analysing vast comments is time-
consuming. Researchers use sentiment analysis via natural language processing …
consuming. Researchers use sentiment analysis via natural language processing …
[HTML][HTML] Recent advancements and challenges of nlp-based sentiment analysis: A state-of-the-art review
Sentiment analysis is a method within natural language processing that evaluates and
identifies the emotional tone or mood conveyed in textual data. Scrutinizing words and …
identifies the emotional tone or mood conveyed in textual data. Scrutinizing words and …
[HTML][HTML] A modified Bayesian boosting algorithm with weight-guided optimal feature selection for sentiment analysis
Sentiment analysis is crucial in understanding and analyzing public opinions, feedback, and
social media data. In this study, we propose a modified Bayesian Boosting algorithm with …
social media data. In this study, we propose a modified Bayesian Boosting algorithm with …
Deep learning based sentiment analysis of public perception of working from home through tweets
A Vohra, R Garg - Journal of Intelligent Information Systems, 2023 - Springer
Nowadays, we are witnessing a paradigm shift from the conventional approach of working
from office spaces to the emerging culture of working virtually from home. Even during the …
from office spaces to the emerging culture of working virtually from home. Even during the …
Unscramble social media power for waste management: A multilayer deep learning approach
Abstract In an industry 4.0 era, manufacturers must make the right decisions concerning
reutilizing and recycling returned goods to lower waste by connecting and integrating …
reutilizing and recycling returned goods to lower waste by connecting and integrating …
An automatic college library book recommendation system using optimized Hidden Markov based weighted fuzzy ranking model
M Verma, PK Patnaik - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
An automated book recommendation system has becoming a necessary role in increasing
the efficacy and user experience of college library. The number of books in the library is very …
the efficacy and user experience of college library. The number of books in the library is very …
Classification of Sentiment Analysis and Community Opinion Modeling Topics for Application of ICT in Government Operations
Utilizing information systems is very useful in the current era. Digitizing administration in the
Village is beneficial in the service process to the public. This is seen as a change in service …
Village is beneficial in the service process to the public. This is seen as a change in service …
An Efficient Machine Learning System using Sentiment Analysis for Movie Recommendations
NS Patankar, YS Deshmukh… - … on Smart Electronics …, 2022 - ieeexplore.ieee.org
In this fast-paced modern world, everyone needs some kind of entertainment in order to
maintain a positive attitude and maintain his or her energy levels. The ability to rebuild our …
maintain a positive attitude and maintain his or her energy levels. The ability to rebuild our …
Discovering Critical Factors in the Content of Crowdfunding Projects
Crowdfunding can simplify the financing process to raise large amounts of money to
complete projects for startups. However, improving the success rate has become one of …
complete projects for startups. However, improving the success rate has become one of …