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Text Mining with R

Course Information

  • Sessions 1 day
  • Duration 7.5 hrs
  • Level Intermediate
  • Assessment NA

Venue

Download Course Brochure

Certification

  • Certificate of Completion from Tertiary Courses - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Courses.

Text Mining with R

Course Code: C577

10 Review(s) | Add Your Review

What's This Course About

Unlock the vast potential of text data with our specialized Text Mining with R course at Tertiary Courses. This training takes participants on a deep dive into the world of text analytics, beginning with the core concept of sentiment analysis, enabling them to interpret and gauge public sentiments effectively. With the utilization of visually appealing word clouds, and the understanding of Ngrams, learners will grasp how to detect and visualize frequent patterns in text data.

As participants progress, they'll be introduced to sophisticated techniques like Topics Modeling and Latent Dirichlet Allocation (LDA) that pave the way for intricate text data categorization and topic identification. What sets this course apart is its comprehensive approach towards harnessing social media data; teaching learners the art and science of extracting and analyzing text from platforms teeming with user insights. Whether you aim to analyze customer sentiments, or draw patterns from vast social media narratives, this course positions you at the forefront of text mining mastery.

WSQ Funding

Full Fee ₵1,500.00 Before GST
GST ₵135.00 9% of fee
Baseline Nett ₵885.00 SG/PR age 21+ · 50% funded
MCES / SME Nett ₵585.00 SG age 40+ · 70% funded

Course Fee

₵1,500.00

Course Date

Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Post-Course Support

  • We provide free consultation related to the subject matter after the course.
  • Please email your queries to info@tertiarycourses.com.gh and we will forward your queries to the subject matter experts and get back to you as soon as possible.

Cancellation & Reschedule Policy

  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
  • Note: the venue of the training is subject to changes due to class size and availability of the classroom. The minimum class size to start a class is 3 Pax.

Course Details

Course Details

What You'll Learn

Topic 1 Overview of Text Mining and Text Analytics

Introduction to Text Mining and Text Analytics

Applications of Text Mining and Text Analytics for Business Intelligence

Cross-Industry Standard Process for Data Mining (CRISP-DM)

Topic 2: Text Cleaning and Pre-processing

Install R Text Mining Packages

Read In Text Corpus

Remove Punctuation and Stop Words

Pre-process Text using Tokenization, Stemming, Lemmatization

Vectorize Text using Term Frequency (TF) Vectorization, N-gram and Inverse-Document Frequency (TF-IDF)

Topic 3 Text Analytics

Part of Speech (POS) Tagging

Name Entity Recognition (NER)

Text Link Analysis and Feature Engineering

Topic 4: Sentimental Analysis

Overview of Machine Learning

Install R Machine Learning package

Build a Machine Learning Model for Sentimental Analysis

Model Evaluation

Topic 5: Text Summarization

Summarize Sentiment Analysis

Visualize Text Summarization

Course Info

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

Minimum Entry Requirement

Knowledge and Skills

  • Able to operate using computer functions
  • Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

  • Positive Learning Attitude
  • Enthusiastic Learner

Experience

  • Minimum of 1 year of working experience.

Target Age Group: 21-65 years old

Minimum Software/Hardware Requirement

Software:

You can download and install the following software:

Hardware: Windows and Mac Laptops

Job Roles

Job Roles

  • Data Scientist
  • Natural Language Processing Engineer
  • Text Mining Specialist
  • Machine Learning Engineer (focused on text data)
  • Content Analyst
  • Big Data Analyst
  • Sentiment Analysis Specialist
  • Information Retrieval Engineer
  • Computational Linguist
  • Data Journalist (with coding skills)
  • SEO Specialist (using text analytics for insights)
  • Digital Marketing Analyst
  • Knowledge Engineer
  • Chatbot Developer
  • Content Recommendation System Developer.

Trainers

Trainers

is an accomplished IT and data specialist with over 20 years of experience in academia, ICT leadership, and professional training, with a strong focus on data analytics and Excel-based solutions. He has developed and delivered specialized training programs on Statistical Data Analysis with Excel and Visual Basic for Applications (VBA) for Excel, equipping learners with advanced data manipulation, automation, and reporting skills. His expertise extends to automating institutional reporting systems, where he successfully streamlined academic records management through Excel-based tools, integrating macros and automation to improve efficiency and accuracy. As a trainer and consultant, Dr. Siraj has taught Excel to diverse audiences, including university staff, administrative teams, and professionals in banking, security, and education, ensuring they can apply Excel for decision-making, statistical modeling, and process automation. His practical mastery of Excel is complemented by his deep knowledge of office automation and ICT project management, making him a highly sought-after trainer in data analysis and productivity tools. With his blend of hands-on technical expertise and instructional experience, Dr. Siraj stands out as a credible authority in leveraging Excel to drive organizational efficiency and data-driven strategies

Review

Customer Reviews (10)

Very informative Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Great course materials and well-paced lessons. The exercises really helped me understand the topic. (Posted on 5/27/2026)
Well structured course Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
A very practical course. The trainer made a complex topic simple and enjoyable to learn. (Posted on 3/4/2026)
Well structured course Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
The trainer is an expert in the subject and shared many practical insights from real projects. (Posted on 12/8/2025)
Practical and relevant Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
A very practical course. The trainer made a complex topic simple and enjoyable to learn. (Posted on 11/20/2025)
Very informative Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
A very practical course. The trainer made a complex topic simple and enjoyable to learn. (Posted on 10/18/2025)

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