A5050592434- Sentiment Analysis and Opinion Mining
- Text and Document Classification Technologies
- User Authentication and Security Systems
- Advanced Text Analysis Techniques
- Digital Marketing and Social Media
- Handwritten Text Recognition Techniques
- Stock Market Forecasting Methods
- Biometric Identification and Security
Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology
2022
Summary In this manuscript, a deep neural network is proposed by integrating improved adaptive‐network‐based fuzzy inference system (IANFIS) for branding online products to overcome these issues. Here, the sentiment analysis (SA) and prediction on future of that are extracted from twitter data carried out. After review process classifying as positive, negative, neutral assessments completely concentrated in three folds, brand out IANFIS weighting finally classify them. This scheme helps...
Tweets are difficult to classify due their simplicity and frequent use of non-standard orthodoxy or slang words. Although several studies have identified highly accurate sentiment data classifications, most not been tested on Twitter data. Previous research interpretation focused binary ternary sentiments in monolingual texts. However, emotions emerge bilingual multilingual The expressed today's social media, including microblogs, different. We a dataset that combines everyday dialogue, easy...