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Text Mining with Orange

Course Information

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

Venue

Kuala Lumpur: G-3A-02, Suite Pejabat Korporat, KL Gateway, No 2, Jalan kerinchi, Gerbang kernichi Lestari, 59200 Kuala Lumpur, Malaysia
Penang: Jalan Sungai Dua, 11700 Penang, Malaysia.

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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 Orange

Course Code: C808
  • HRDF

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What's This Course About

Dive into the world of Text Mining with our intensive training on the versatile tool, Orange, at Tertiary Courses. This program is meticulously designed to introduce participants to the foundational techniques of Text Preprocessing, setting the stage for more advanced modules in the curriculum. Gain insights into the methodologies behind Text Clustering, and understand the nuanced ways to classify textual data effectively.

Progress further to explore Text Classification, a pivotal component in making sense of vast textual data sets, followed by an in-depth understanding of Topic Modeling, which aids in discerning the underlying topics within large text corpora. This comprehensive course provides hands-on experience with Orange, ensuring participants are well-equipped to tackle real-world text mining challenges with proficiency and confidence.

WSQ Funding

Full Fee 1,050.00 Before GST
GST 94.50 9% of fee
Baseline Nett 619.50 SG/PR age 21+ · 50% funded
MCES / SME Nett 409.50 SG age 40+ · 70% funded
Funding and Grant Applications

No funding is available for this course

Course Fee

MYR1,050.00

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.

Disclaimer: The course dates displayed on our website are tentative and subject to trainer availability. We will confirm the final date after checking with the trainer. You are also welcome to email us your preferred date at sales@tertiarycourses.com.my, and we will do our best to coordinate with the trainer's schedule.

Post-Course Support

  • We may provide consultation related to the subject matter after the course.
  • Please email your queries to sales@tertiarycourses.com.my 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

What is Text Mining

Upload Corpus

Upload Document

Topic 2: Preprocessing Text

Pre-process Text

Stopwords

Bag of Words (BoW)

Similarity Hashing

Topic 3: Online API Search

Wikipedia

Twitter

Topic 4: Text Clustering

Cosine Distance

Hierarchical Clustering & Dendrogram

Text Clustering Workflow

Similarity Clustering with Hashing

Topic 5: Text Classification

What is Classification

Classification Algorithms

Text Classification and Prediction

K-Fold Cross Validation

Similarity Hashing

Topic 6: Topic Modeling

Latent Semantic Indexing (LSP)

Latent Dirichlet Allocation (LDA)

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: 18-65 years old

Minimum Software/Hardware Requirement

Software:

Hardware: Window or 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

Saeid is co-founder of Skymics Sdn Bhd. He has 8 years of experience in the field of IoT (Internet of Things) and Information Technology. He is a certified IBM IoT Practitioner and instructor, and a Certified Citizen Data Scientist Train-The-Trainer. He has been co-inventor of 3 inventions during the last 4 years.

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