... automatically. Design/methodology/approach This study proposes a model that effectively groups Turkish project proposals by combining word embedding, clustering and classification techniques. The proposed model uses FastText, BERT and term frequency/inverse document frequency (TF/IDF) word-embedding...

... supervised machine learning natural language processing algorithms, the authors have used unsupervised deep learning algorithms. Design/methodology/approach The method presented for sentiment analysis is designed using CNN, Bi-LSTM and the attention mechanism. Word2vec word embedding is used for natural...