https://github.com/JoyeBright/DeepSentiPers
공식 코드DeepSentiPers: Novel Deep Learning Models Trained Over Proposed Augmented Persian Sentiment Corpus
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Persian Sentiment analysis is the task of classifying the polarity of a given text.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
DeepSentiPers: Novel Deep Learning Models Trained Over Proposed Augmented Persian Sentiment Corpus
Sentiment-Driven Community Detection in a Network of Perfume Preferences
Graph-to-Graph Transformer for Transition-based Dependency Parsing
Transition-Based Dependency Parsing with Stack Long Short-Term Memory
A Novel Neural Network Model for Joint POS Tagging and Graph-based Dependency Parsing
Jointly Modeling Aspect and Polarity for Aspect-based Sentiment Analysis in Persian Reviews
ParsiNLU: A Suite of Language Understanding Challenges for Persian
Constructing Colloquial Dataset for Persian Sentiment Analysis of Social Microblogs
Transition-Based Dependency Parsing with Stack Long Short-Term Memory
Transition-Based Dependency Parsing with Stack Long Short-Term Memory
Transition-Based Dependency Parsing with Stack Long Short-Term Memory
Transition-Based Dependency Parsing with Stack Long Short-Term Memory
Transition-Based Dependency Parsing with Stack Long Short-Term Memory
Transition-Based Dependency Parsing with Stack Long Short-Term Memory
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.