• Home
  • Text Mining with R

Text Mining with R

Course Information

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

Venue

12 Woodlands Square #07-85/86/87 Woods Square Tower 1, Singapore 737715. 5 mins walk from Woodlands (NS9) MRT station.

The venue is disabled-friendly.

Download Course Brochure

Certification

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

Text Mining with R

Course Code: C577

11 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.

Funding Options

No funding is available for this course.

For WSQ funding, please checkout the details at WSQ - Text Analytics with R

Course Fee

$350.00 (GST-exclusive)
$381.50 (GST-inclusive)

Course Date

* Required Fields

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 enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts.

Cancellation & Reschedule Policy

  • You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commences.
  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
  • Note the venue of the training is subject to changes due to availability of the classroom.

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

Dwight Nuwan Fonseka

Dwight Nuwan Fonseka is Head of Data Science at Plano Pte. Ltd. and an ACLP-certified trainer with deep expertise in data analytics, machine learning, and AI applications. He has extensive hands-on experience developing predictive models, RShiny dashboards, and deep learning solutions using R, Python, TensorFlow, and Keras. With a strong professional background in healthcare, finance, and customer analytics, Dwight brings an applied perspective to teaching AI, focusing on both the opportunities and risks of emerging technologies.

Review

Customer Reviews (11)

will recommend 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
trainer was knowledgeable and able to explain concepts clearly based on my training needs (Posted on 4/2/2021)
Will Recommend 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
. (Posted on 10/12/2019)
Will Recommend 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
. (Posted on 4/6/2019)
Will Recommend 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
. (Posted on 4/6/2019)
Might Recommend 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
. (Posted on 4/6/2019)

Items 1 to 5 of 11 total

per page
Page:
  1. 1
  2. 2
  3. 3

Write Your Own Review

You're reviewing: Text Mining with R

How do you rate this product? *

  1 star 2 stars 3 stars 4 stars 5 stars
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