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Text Mining with R

Text Mining with R

11 Review(s) | Add Your Review

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.

Certificate

All participants will receive a Certificate of Completion from Tertiary Courses after achieved at least 75% attendance.

Funding and Grant Applications

No funding is available for this course.

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

Course Code: C577

Fee

$300.00 (GST-exclusive)

$327.00 (GST-inclusive)

The course fee listed below is before subsidy/grant, if applicable. We will apply for the grant and send you the invoice with nett fee.

Mode of Training

Physical Classroom Training
Synchronised Teaching using ZOOM
Corporate Training at Company Premise

Course Date * Course Date

Course Time *

Sponsorship

Self-Sponsored
Employer-Sponsored

No. of Participants

Name(s) on Certificate

Additional Message or Emails for Course Notification

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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.

Course Cancellation/Reschedule Policy

You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commerce.
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

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

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

Dwight Nuwan Fonseka: Dwight Nuwan Fonseka is a ACLP certified trainer. He have a degree in Biotechnology from NUS, Advanced diploma in Pharmaceutical management from MDIS and Masters in Education from NTU. He have 8 years experience of teaching biology at O and A levels/ IB level in international schools in Singapore and overseas.

Dr. Alvin Ang: Dr. Alvin Ang is a ACTA certified trainer. Dr. Alvin Ang did his Ph.D., Masters and Bachelors from NTU, Singapore. Previously he was a Principal Consultant (Data Science) as well as an Assistant Professor. He was also 8 years SUSS adjunct lecturer. His focus and interest is in the area of real world data science. Though an operational researcher by study, his passion for practical applications outweigh his academic background. He owns a startup externally.

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)

Might Reecommend 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

Venue of the course was cosy although it can be improved in terms of lighting. (Posted on 10/29/2018)

Helps to address real life situation 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

Dwight is friendly and helpful and helps to adjust code to suit company's needs. (Posted on 8/22/2018)

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

Nil (Posted on 3/29/2018)

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

The trainer is excellent. He was able to communicate the knowledge effectively at a fast pace, whilst still ensuring that all the trainees kept up with the progress. (Posted on 3/29/2018)

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

Nil (Posted on 1/23/2018)

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

Do you conduct Microsoft R server course ? (Posted on 10/27/2017)

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About Us

Tertiary Courses, founded in 2014, specializes in providing modular, skill-based courses tailored to Industry 4.0. We are WSQ Approved Training Organization (ATO), and IBF Approved ATO.. We are also Authorized Microsoft Learning Partner, Autodesk Authorized Training Center (ATC), Pearson Vue Authorized Test Center and Kryterion Authorized Testing Center. We offer a comprehensive range of training, certification prep and certification exam services. Additionally, we are a registered supplier with Singapore GeBiz, further solidifying our position as a trusted educational institution in the region.

Training Grants and Subsidies

We have various grants and subsidies for different courses. Please check the respective funding available on individual course page.

WSQ: Company and Singaporeans/PR can apply WSQ 70-90% funding depending on eligibility
SkillsFuture Enterprise Credit (SFEC) - Eligible Singapore-registered companies can tap on $10000 SFEC to cover up to 90% of out-of-pocket expense
SkillsFuture Credit: All Singaporeans aged 25 and above can use their $500 SkillsFuture Credit from the government to pay for a wide range of approved skills-related courses.
IBF-STS Companies and Singaporeans/PR can apply IBF-STS 70-90% funding depending on eligibility
UTAP: NTUC members enjoy 50% subsidy for unfunded course fee support for up to $250 each year when you sign up for courses supported under UTAP
SGTech STAR Fund: SGTECH members enjoy $500 grant per pax for SGTech STAR courses