all AI news
Deep Learning-based Sentiment Analysis in Persian Language
March 19, 2024, 4:53 a.m. | Mohammad Heydari, Mohsen Khazeni, Mohammad Ali Soltanshahi
cs.CL updates on arXiv.org arxiv.org
Abstract: Recently, there has been a growing interest in the use of deep learning techniques for tasks in natural language processing (NLP), with sentiment analysis being one of the most challenging areas, particularly in the Persian language. The vast amounts of content generated by Persian users on thousands of websites, blogs, and social networks such as Telegram, Instagram, and Twitter present a rich resource of information. Deep learning techniques have become increasingly favored for extracting insights …
abstract analysis arxiv cs.cl deep learning deep learning techniques generated language language processing natural natural language natural language processing nlp processing sentiment sentiment analysis tasks type vast
More from arxiv.org / cs.CL updates on arXiv.org
Jobs in AI, ML, Big Data
Founding AI Engineer, Agents
@ Occam AI | New York
AI Engineer Intern, Agents
@ Occam AI | US
AI Research Scientist
@ Vara | Berlin, Germany and Remote
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
DevOps Engineer (Data Team)
@ Reward Gateway | Sofia/Plovdiv