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Found 7 papers, 1 papers with code
Text Representation Enrichment Utilizing Graph based Approaches: Stock Market Technical Analysis Case Study
The proposed model is capable of processing heterogeneous graphs to produce unified node embeddings which are then utilized for node classification or link prediction as the downstream task.
Optimizing Annotation Effort Using Active Learning Strategies: A Sentiment Analysis Case Study in Persian
Active Learning models can achieve the baseline performance (the accuracy of the model trained on the whole dataset), with a considerably lower amount of labeled data.
Irony Detection in Persian Language: A Transfer Learning Approach Using Emoji Prediction
In the current research, which is the first attempt at irony detection in Persian language, emoji prediction is used to build a pretrained model.
Twitter Trend Extraction: A Graph-based Approach for Tweet and Hashtag Ranking, Utilizing No-Hashtag Tweets
In order to overcome this issue and extract trends using all tweets, we propose a graph-based approach where graph nodes represent tweets as well as words and hashtags.
LexiPers: An ontology based sentiment lexicon for Persian
The results show an acceptable performance in terms of accuracy and F-measure in the generated sentiment lexicon.
