WSSA: Weakly Supervised Semantic-based approach for Sentiment Analysis.
Wissam Mammar KouadriSalima BenbernouMourad OuziriIheb Ben AmorPublished in: SSDBM (2022)
Keyphrases
- sentiment analysis
- weakly supervised
- sentiment lexicon
- opinion mining
- sentiment classification
- topic models
- superpixels
- object class
- text classification
- relation extraction
- fully supervised
- named entities
- semantic information
- natural language processing
- text mining
- semantic similarity
- semantic features
- semi supervised
- natural language
- information extraction
- product reviews
- visual features
- multiscale
- natural images
- low level features
- domain specific
- object detection
- object recognition