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pro vyhledávání: '"Mousa, Ramin"'
Accurate classification of objects in 3D point clouds is a significant problem in several applications, such as autonomous navigation and augmented/virtual reality scenarios, which has become a research hot spot. In this paper, we presented a deep le
Externí odkaz:
http://arxiv.org/abs/2403.05950
Along with factors such as cancer, blood pressure, street accidents and stroke, suicide has been one of Iran main causes of death. One of the main reasons for suicide is psychological stressors. Identifying psychological stressors in an at risk popul
Externí odkaz:
http://arxiv.org/abs/2403.15391
Sentiment classification is a fundamental task in natural language processing, assigning one of the three classes, positive, negative, or neutral, to free texts. However, sentiment classification models are highly domain dependent; the classifier may
Externí odkaz:
http://arxiv.org/abs/2306.17068
Stock market forecasting has been a challenging part for many analysts and researchers. Trend analysis, statistical techniques, and movement indicators have traditionally been used to predict stock price movements, but text extraction has emerged as
Externí odkaz:
http://arxiv.org/abs/2304.02094
Text classification is a fundamental task in natural language processing (NLP). Several recent studies show the success of deep learning on text processing. Convolutional neural network (CNN), as a popular deep learning model, has shown remarkable su
Externí odkaz:
http://arxiv.org/abs/2301.11696
Autor:
Mousa, Ramin, Nazari, Sara, Abadi, Ali Karhe, Shoukhcheshm, Reza, Pirzadeh, Mohammad Niknam, Safari, Leila
Today, the use of social networking data has attracted a lot of academic and commercial attention in predicting the stock market. In most studies in this area, the sentiment analysis of the content of user posts on social networks is used to predict
Externí odkaz:
http://arxiv.org/abs/2102.07718