Natural Language Processing Course
Course details
Natural Language Processing Course

    • 1-Day
    • Online, Instructor-led, Interactive, Practical
    • Natural Language Processing Basics Hands-on, Practical Course, Instructor-led Course.
      1 day
      In classroom at on request.

    • Locations

Natural Language Processing Course description
Overview of Natural Language Processing:

This course covers Natural Language Processing principles.

What You'll Learn:

What You'll Learn: ( Hands-On Learning )

Comprehensive Coverage: Basic, Intermediate, and Advanced NLP concepts.

Tools and Libraries: NLTK, regex, Stanford NLP, TextBlob, and data cleaning techniques.

Entity Resolution: Techniques for identifying and merging different representations of the same entity.

Feature Extraction: Converting text into features for analysis.

Word Embedding: Understanding and implementing word embedding techniques.

Word2Vec and GloVe: Mastering these popular word embedding models.

Word Sense Disambiguation: Techniques to determine the meaning of words in context.

Speech Recognition: Basics of converting speech to text.

String Similarity: Methods for comparing the similarity between two strings.

Language Translation: Techniques for automatic translation between languages.

Computational Linguistics: Applying computational techniques to linguistic problems.

Classification Techniques: Using Random Forest, Naive Bayes, and XGBoost for text classification.

Deep Learning Classifications: Implementing classifications with TensorFlow (tf.keras).

Sentiment Analysis: Determining the sentiment of text data.

Clustering: K-means clustering techniques for text data.

Topic Modeling: Identifying topics within a corpus of text.

Model Evaluation: Understanding Bias vs. Variance to evaluate model performance.

What is included
  • PCWorkshops Course Certificate on completion
  • Natural Language Processing Course Notes
  • Natural Language Processing Code Examples
  • Practical Natural Language Processing Course exercises, Natural Language Processing Course Revision work
  • After the course: 1-Hour personalised online revision session optional, on request
Book the Natural Language Processing Course
About us
Special Offers
Java CollectionThe Java Collection framework furnishes an architecture for storing and manipulating groups of objects. Java Collections facilitate various operations akin to those performed on data, including searching, sorting, insertion, manipulation, and deletion. In Java, a Collection represents a unified entity of objects. The Java Collection framework encompasses numerous interfaces (such as Set, List, Queue, Deque) and classes (including ArrayList, Vector, LinkedList, PriorityQueue, HashSet, LinkedHashSet, TreeSet).
Core Java Understanding core Java concepts involves acknowledging that core Java acts as the foundational version of Java, establishing the framework for all future Java iterations and associated technologies like CORBA and Java VM. Core Java consists of a collection of libraries, distinct from being the programming language itself.
JavaFX JavaFX, a Java library, empowers developers to create both desktop applications and Rich Internet Applications (RIAs). These applications, crafted with JavaFX, boast cross-platform compatibility, seamlessly running on diverse platforms including web, mobile, and desktop environments. Acting as a toolkit, JavaFX simplifies the process of designing visually captivating user interfaces.
Java SpringSpring is a robust framework providing templates for diverse technologies like JDBC, Hibernate, JPA, and beyond. By abstracting the fundamental steps required to use these technologies, it eliminates the need for extensive code writing. Essentially, Spring streamlines development processes, making tasks more manageable and boosting overall efficiency.