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Text Mining with Orange

Course Information

  • Sessions 1 day
  • Duration 7.5 hrs
  • Level Beginner
  • 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.

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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 Orange

Course Code: C808

1 Review(s) | Add Your Review

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.

Funding Options

No funding is available for this course

Course Fee

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

Course Date

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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

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

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

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. (Posted on 11/6/2019)

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