A deep learning-based sentiment analysis approach (MF-CNN-BILSTM) and topic modeling of tweets related to the Ukraine-Russia conflict.
Serpil AslanPublished in: Appl. Soft Comput. (2023)
Keyphrases
- topic modeling
- sentiment analysis
- opinion mining
- deep learning
- text classification
- topic models
- text mining
- social media content
- weakly supervised
- unsupervised learning
- sentiment classification
- latent dirichlet allocation
- machine learning
- product reviews
- natural language processing
- text documents
- collaborative filtering
- social media
- knowledge discovery
- named entities
- mental models
- text categorization
- information retrieval
- prior knowledge
- news articles
- pattern recognition
- feature selection
- information extraction