NLP: Natural Language Processing with R Training Course
It is estimated that unstructured data accounts for more than 90 percent of all data, much of it in the form of text. Blog posts, tweets, social media, and other digital publications continuously add to this growing body of data.
This instructor-led, live course centers around extracting insights and meaning from this data. Utilizing the R Language and Natural Language Processing (NLP) libraries, we combine concepts and techniques from computer science, artificial intelligence, and computational linguistics to algorithmically understand the meaning behind text data. Data samples are available in various languages per customer requirements.
By the end of this training participants will be able to prepare data sets (large and small) from disparate sources, then apply the right algorithms to analyze and report on its significance.
Format of the Course
- Part lecture, part discussion, heavy hands-on practice, occasional tests to gauge understanding
Course Outline
Introduction
- NLP and R vs Python
Installing and Configuring R Studio
Installing R Packages Related to Natural Language Processing (NLP)
An Overview of R's Text Manipulation Capabilities
Getting Started with an NLP Project in R
Reading and Importing Data Files into R
Text Manipulation with R
Document Clustering in R
Parts of Speech Tagging in R
Sentence Parsing in R
Working with Regular Expressions in R
Named-Entity Recognition in R
Topic Modeling in R
Text Classification in R
Working with Very Large Data Sets
Visualizing Your Results
Optimization
Integrating R with Other Languages (Java, Python, etc.)
Summary and Conclusion
Requirements
- Some familiarity with programming.
Audience
- Linguists and programmers
Open Training Courses require 5+ participants.
NLP: Natural Language Processing with R Training Course - Booking
NLP: Natural Language Processing with R Training Course - Enquiry
NLP: Natural Language Processing with R - Consultancy Enquiry
Testimonials (1)
The pace was just right and the relaxed atmosphere made candidates feel at ease to ask questions.
Rhian Hughes - Public Health Wales NHS Trust
Course - Introduction to Data Visualization with Tidyverse and R
Upcoming Courses
Related Courses
Introduction to Data Visualization with Tidyverse and R
7 HoursThe Tidyverse is a collection of versatile R packages for cleaning, processing, modeling, and visualizing data. Some of the packages included are: ggplot2, dplyr, tidyr, readr, purrr, and tibble.
In this instructor-led, live training, participants will learn how to manipulate and visualize data using the tools included in the Tidyverse.
By the end of this training, participants will be able to:
- Perform data analysis and create appealing visualizations
- Draw useful conclusions from various datasets of sample data
- Filter, sort and summarize data to answer exploratory questions
- Turn processed data into informative line plots, bar plots, histograms
- Import and filter data from diverse data sources, including Excel, CSV, and SPSS files
Audience
- Beginners to the R language
- Beginners to data analysis and data visualization
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
AI Automation with n8n and LangChain
14 HoursThis instructor-led, live training in Singapore (online or onsite) is aimed at developers and IT professionals of all skill levels who wish to automate tasks and processes using AI without writing extensive code.
By the end of this training, participants will be able to:
- Design and implement complex workflows using n8n's visual programming interface.
- Integrate AI capabilities into workflows using LangChain.
- Build custom chatbots and virtual assistants for various use cases.
- Perform advanced data analysis and processing with AI agents.
Automating Workflows with LangChain and APIs
14 HoursThis instructor-led, live training in Singapore (online or onsite) is aimed at beginner-level business analysts and automation engineers who wish to understand how to use LangChain and APIs for automating repetitive tasks and workflows.
By the end of this training, participants will be able to:
- Understand the basics of API integration with LangChain.
- Automate repetitive workflows using LangChain and Python.
- Utilize LangChain to connect various APIs for efficient business processes.
- Create and automate custom workflows using APIs and LangChain’s automation capabilities.
Building Conversational Agents with LangChain
14 HoursThis instructor-led, live training in Singapore (online or onsite) is aimed at intermediate-level professionals who wish to deepen their understanding of conversational agents and apply LangChain to real-world use cases.
By the end of this training, participants will be able to:
- Understand the fundamentals of LangChain and its application in building conversational agents.
- Develop and deploy conversational agents using LangChain.
- Integrate conversational agents with APIs and external services.
- Apply Natural Language Processing (NLP) techniques to improve the performance of conversational agents.
Ethical Considerations in AI Development with LangChain
21 HoursThis instructor-led, live training in Singapore (online or onsite) is aimed at advanced-level AI researchers and policy makers who wish to explore the ethical implications of AI development and learn how to apply ethical guidelines when building AI solutions with LangChain.
By the end of this training, participants will be able to:
- Identify key ethical issues in AI development with LangChain.
- Understand the impact of AI on society and decision-making processes.
- Develop strategies for building fair and transparent AI systems.
- Implement ethical AI guidelines into LangChain-based projects.
Enhancing User Experience with LangChain in Web Apps
14 HoursThis instructor-led, live training in Singapore (online or onsite) is aimed at intermediate-level web developers and UX designers who wish to leverage LangChain to create intuitive and user-friendly web applications.
By the end of this training, participants will be able to:
- Understand the fundamental concepts of LangChain and its role in enhancing web user experience.
- Implement LangChain in web apps to create dynamic and responsive interfaces.
- Integrate APIs into web apps to improve interactivity and user engagement.
- Optimize user experience using LangChain’s advanced customization features.
- Analyze user behavior data to fine-tune web app performance and experience.
LangChain: Building AI-Powered Applications
14 HoursThis instructor-led, live training in Singapore (online or onsite) is aimed at intermediate-level developers and software engineers who wish to build AI-powered applications using the LangChain framework.
By the end of this training, participants will be able to:
- Understand the fundamentals of LangChain and its components.
- Integrate LangChain with large language models (LLMs) like GPT-4.
- Build modular AI applications using LangChain.
- Troubleshoot common issues in LangChain applications.
Integrating LangChain with Cloud Services
14 HoursThis instructor-led, live training in Singapore (online or onsite) is aimed at advanced-level data engineers and DevOps professionals who wish to leverage LangChain's capabilities by integrating it with various cloud services.
By the end of this training, participants will be able to:
- Integrate LangChain with major cloud platforms such as AWS, Azure, and Google Cloud.
- Utilize cloud-based APIs and services to enhance LangChain-powered applications.
- Scale and deploy conversational agents to the cloud for real-time interaction.
- Implement monitoring and security best practices in cloud environments.
LangChain for Data Analysis and Visualization
14 HoursThis instructor-led, live training in Singapore (online or onsite) is aimed at intermediate-level data professionals who wish to use LangChain to enhance their data analysis and visualization capabilities.
By the end of this training, participants will be able to:
- Automate data retrieval and cleaning using LangChain.
- Conduct advanced data analysis using Python and LangChain.
- Create visualizations with Matplotlib and other Python libraries integrated with LangChain.
- Leverage LangChain for generating natural language insights from data analysis.
LangChain Fundamentals
14 HoursThis instructor-led, live training in Singapore (online or onsite) is aimed at beginner-level to intermediate-level developers and software engineers who wish to learn the core concepts and architecture of LangChain and gain the practical skills for building AI-powered applications.
By the end of this training, participants will be able to:
- Grasp the fundamental principles of LangChain.
- Set up and configure the LangChain environment.
- Understand the architecture and how LangChain interacts with large language models (LLMs).
- Develop simple applications using LangChain.
Advanced Techniques in Natural Language Generation (NLG)
14 HoursThis instructor-led, live training in Singapore (online or onsite) is aimed at intermediate-level professionals who wish to enhance their skills in generating high-quality, human-like text using advanced NLG methods.
By the end of this training, participants will be able to:
- Understand advanced techniques for generating natural language text.
- Implement and fine-tune transformer-based models for NLG.
- Optimize NLG outputs for fluency, coherence, and relevance.
- Evaluate the quality of generated text using both automated and human metrics.
Introduction to Natural Language Generation (NLG)
14 HoursThis instructor-led, live training in Singapore (online or onsite) is aimed at beginner-level professionals who wish to learn the basics of NLG and its role in AI and content generation.
By the end of this training, participants will be able to:
- Understand the fundamental concepts of Natural Language Generation.
- Explore the applications of NLG in various industries.
- Learn basic techniques for generating human-like text using AI.
- Work with Python libraries and models to generate text.
Python for Natural Language Generation (NLG)
21 HoursIn this instructor-led, live training in Singapore, participants will learn how to use Python to produce high-quality natural language text by building their own NLG system from scratch. Case studies will also be examined and the relevant concepts will be applied to live lab projects for generating content.
By the end of this training, participants will be able to:
- Use NLG to automatically generate content for various industries, from journalism, to real estate, to weather and sports reporting.
- Select and organize source content, plan sentences, and prepare a system for automatic generation of original content.
- Understand the NLG pipeline and apply the right techniques at each stage.
- Understand the architecture of a Natural Language Generation (NLG) system.
- Implement the most suitable algorithms and models for analysis and ordering.
- Pull data from publicly available data sources as well as curated databases to use as material for generated text.
- Replace manual and laborious writing processes with computer-generated, automated content creation.
AI-Driven NLG for Chatbots and Virtual Assistants
21 HoursThis instructor-led, live training in Singapore (online or onsite) is aimed at advanced-level professionals who wish to master AI-driven NLG techniques for chatbot and virtual assistant applications.
By the end of this training, participants will be able to:
- Understand the core principles of NLG for conversational AI.
- Leverage deep learning techniques to enhance chatbot dialogue generation.
- Integrate state-of-the-art NLG models like GPT-3 into chatbot frameworks.
- Apply contextual AI for improving conversational coherence and fluidity.
Text Summarization and Content Generation with AI (NLG)
21 HoursThis instructor-led, live training in Singapore (online or onsite) is aimed at intermediate-level professionals who wish to gain practical skills in using NLG for automating text summarization and content generation.
By the end of this training, participants will be able to:
- Understand the core principles of NLG for text summarization and content generation.
- Implement NLG models to summarize large documents and articles.
- Leverage pre-trained NLG models like GPT for content creation.
- Apply advanced techniques to fine-tune NLG models for specific content generation tasks.