Physical Sciences → Computer Science → Artificial Intelligence
Sentiment Analysis and Opinion Mining
This cluster of papers focuses on sentiment analysis and opinion mining, particularly in the context of social media and text mining. It covers various techniques such as lexicon-based methods, deep learning, aspect-based sentiment analysis, and machine learning for analyzing emotions and opinions in textual data from platforms like Twitter. The research also delves into emotion recognition and the impact of sentiment analysis on public perception.
67.5K works worldwide858.5K citations
Sentiment AnalysisOpinion MiningSocial MediaText MiningEmotion RecognitionDeep LearningAspect-based Sentiment AnalysisLexicon-Based MethodsTwitter SentimentMachine Learning
Journals publishing in this area
Articles on Scinovex in this research area
4 articles, most cited first
- Integrating VADER, deep learning, and nine Rasas for enhanced student emotion detection in social media textInternational Journal of Statistics and Applied Mathematics · 2026 · 0 citations
- Understanding public perceptions of sustainable agriculture: A social media-based sentiment analysis studyInternational Journal of Agriculture Extension and Social Development · 2026 · 0 citations
- Social media marketing effectiveness for value-added dairy brands in India: A sentiment analysis using NLPInternational Journal of Agriculture Extension and Social Development · 2026 · 0 citations
- Deep learning model on suicidal ideation detection using social media text dataInternational Journal of Statistics and Applied Mathematics · 2026 · 0 citations
