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Natural Language Processing with Python NLTK Training

Course Information

  • Sessions 2 days
  • Duration 15 hrs
  • Level Intermediate
  • 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.

Natural Language Processing with Python NLTK Training

Course Code: C475
  • HRDF

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What's This Course About

Unearth the power and potential of Natural Language Processing with our dedicated Python NLTK Training at Tertiary Courses. In this meticulously crafted course, participants begin their journey with basic text analysis using NLTK, laying a firm foundation for advanced NLP endeavors. The course sheds light on robust techniques for Text Classification and seamlessly integrates with Scikit-Learn classifiers, ensuring a holistic understanding of combining NLP tools for optimal outcomes.

Venture further into the world of NLP by grasping the intricacies of Gensim, a powerful library designed for topic modeling and document indexing. Additionally, the course introduces the participants to Word2Vec, an innovative two-layer neural net to process text. This training, with its blend of theory and practice, equips learners to harness the capabilities of NLTK and other associated tools, ensuring they're well-prepared to tackle real-world NLP challenges with finesse and precision.

WSQ Funding

Full Fee 1,800.00 Before GST
GST 162.00 9% of fee
Baseline Nett 1,062.00 SG/PR age 21+ · 50% funded
MCES / SME Nett 702.00 SG age 40+ · 70% funded
Funding and Grant Applications

No funding is available for this course

For WSQ funding, please checkout the details at NICF Text Analytics with Python

Course Fee

MYR1,800.00

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 and Text Analytics

Introduction to Natural Language Processing (NLP)

Applications of Text Analytics and Text Mining for Business Intelligence

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

Topic 2: Text Cleaning and Pre-processing

Install Python NLTK Package

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 Python Scikit Learn Package

Build a Machine Learning Model for Sentimental Analysis

Model Evaluation

Topic 5: Text Summarization

Summarize Sentiment Analysis

Visualize Text Summarization

Course Info

Prerequisite

This is an intermediate level course. The following prerequisite is assumed

Software Requirement

Please download and install the following software prior to the class

Job Roles

Job Roles

  • Aspiring Software Developer
  • Data Analyst
  • Web Developer
  • Automation Engineer
  • Data Scientist
  • System Administrator
  • Bioinformatics Specialist
  • Research Scientist
  • Finance Professional
  • Machine Learning Enthusiast
  • GIS (Geographic Information System) Specialist
  • IT Consultant
  • Network Engineer
  • Database Administrator
  • Tech Entrepreneur.

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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