Professional Certificate in Natural Language Processing with {search_term_string}
-- ViewingNowThe Professional Certificate in Natural Language Processing (NLP) with is a crucial course for professionals seeking to delve into the rapidly growing field of NLP. This program covers fundamental and advanced NLP concepts, including text processing, sentiment analysis, machine translation, and speech recognition.
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과정 세부사항
• Introduction to Natural Language Processing: Understanding the basics of NLP, including its history, applications, and challenges. • Text Preprocessing: Cleaning and formatting text data, including tokenization, stemming, and lemmatization. • Part-of-Speech Tagging: Identifying the grammatical parts of speech in a sentence, such as nouns, verbs, and adjectives. • Named Entity Recognition: Identifying and categorizing proper nouns, such as people, places, and organizations. • Sentiment Analysis: Detecting and analyzing subjective information in text, such as opinions and emotions. • Topic Modeling: Discovering hidden thematic structures in text data, such as topics or themes. • Word Embeddings: Representing words as high-dimensional vectors for use in machine learning models. • Deep Learning for NLP: Applying deep learning techniques, such as recurrent neural networks (RNNs) and transformers, to NLP tasks. • Evaluation Metrics for NLP: Measuring the performance of NLP models using accuracy, precision, recall, and F1 score.
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