Professional Certificate in NLP: Actionable Knowledge
-- ViewingNowThe Professional Certificate in NLP: Actionable Knowledge is a comprehensive course that empowers learners with essential skills in Natural Language Processing (NLP). This program covers a wide range of topics including text processing, sentiment analysis, and language understanding, providing a strong foundation in NLP techniques and tools.
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⢠Introduction to NLP – Definition, history, and applications of Natural Language Processing. Understanding the role of NLP in modern technology.
⢠Text Preprocessing – Data cleaning, tokenization, stemming, and lemmatization. Improving NLP models with better data preprocessing techniques.
⢠Sentiment Analysis – Measuring and categorizing opinions in text data. Identifying and interpreting sentiments in customer reviews, surveys, and social media.
⢠Named Entity Recognition (NER) – Extracting proper nouns and categorizing them into predefined classes, such as person names, organizations, locations, and more.
⢠Part-of-Speech (POS) Tagging – Identifying and tagging words in a sentence with their corresponding part of speech, such as nouns, verbs, adjectives, and adverbs.
⢠Dependency Parsing – Analyzing the grammatical structure of a sentence and understanding the relationships between words.
⢠Machine Learning in NLP – Overview of traditional machine learning algorithms and their application in NLP, such as Naive Bayes, Support Vector Machines (SVM), and Decision Trees.
⢠Deep Learning in NLP – Exploring the use of deep learning models in NLP, such as Recurrent Neural Networks (RNN), Long Short-Term Memory (LSTM), and Transformers.
⢠Use Cases & Best Practices – Real-world examples of NLP in action, including chatbots, search engines, text classification, and more. Understanding the ethical considerations when using NLP and best practices for building responsible NLP models.
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