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🎓 Diploma Thesis | A Word2vec comparative study of CBOW and Skipgram
COVID-19 Arabic Word embeddings is a domain- specific pre-trained distributed word representation of COVID-19 Tweets which aims to provide the Arabic NLP research community with free to use and powerful word embedding models.
Continuous skip-gram model for generating word embeddings for customer complaints data.