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NLP Techniques and Applications by Petar Pucoski is a document available to read on EtoBox.
What is NLP Techniques and Applications about?
The document outlines various machine learning techniques and models for natural language processing (NLP), including binary classification using XGB, LSTM layers for timestamp data, and text vectorization methods. It discusses the application of transformers for tasks such as sentiment analysis, zero-shot classification, text generation, and named entity recognition. Additionally, it mentions the use of CNN and LSTM for determining target classes based on loaded text.
- Author
- Petar Pucoski
- Language
- EN