Natural Language Processing (NLP) is a fascinating field of study that focuses on the interaction between computers and human language. This course will introduce you to the fundamental concepts and techniques used in NLP, including text preprocessing, feature extraction, and machine learning algorithms.

Course Outline

  • Introduction to NLP

    • What is NLP?
    • Importance of NLP in today's world
    • Overview of the course

  • Text Preprocessing

    • Tokenization
    • Stemming and lemmatization
    • Stop word removal

  • Feature Extraction

    • Bag of Words
    • Term Frequency-Inverse Document Frequency (TF-IDF)
    • Word embeddings

  • Machine Learning Algorithms

    • Naive Bayes
    • Support Vector Machines (SVM)
    • Neural Networks

  • Applications of NLP

    • Sentiment Analysis
    • Machine Translation
    • Chatbots

Learn More

For a deeper dive into NLP, check out our advanced course on Deep Learning for NLP at /en/courses/deep-learning-nlp/.

Image:

NLP_Concept

NLP is not just about processing language; it's about understanding it. This concept is illustrated beautifully in the image above.