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Natural Language Processing with Python NLTK Training

Course Information

  • Sessions 2 days
  • Duration 15 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.

Natural Language Processing with Python NLTK Training

Course Code: C475

10 Review(s) | Add Your Review

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.

Funding Options

No funding is available for this course

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

Course Fee

$600.00 (GST-exclusive)
$654.00 (GST-inclusive)

Course Date

Course Time

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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 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

Quah Chee Yong: Quah Chee Yong is a ACTA trainer. Chee Yong is an experienced professional who has held various Technical, Operations and Commercial positions across several industries A firm believer that AI can create a better world, he has equipped himself with the Knowledge and Skills in the fields of Data Science, Machine Learning, Deep Learning and Cloud Deployment He has a deep passion for training & facilitating and is currently a Singapore WSQ certified Adult Educator. He particularly enjoys the interactive engagements with his fellow trainers and learners. Solomon Soh Zhe Hong: Solomon is ACTA certified and has trained and coached over 100 professionals in the area of data science, python programming and coding. Solomon is a Certified AI Engineer Associate by AI Singapore and holds certifications in Alibaba Cloud Architect and Alteryx respectively. Solomon interests include Reinforcement Learning, Natural Language Processing and Time-Series analysis. Marcel Leng: Marcel Leng is a ACTA certified. Marcel graduated with majors in Applied Mathematics and Physics from the National University of Singapore. His core specialisation skills are R, Python, Machine Learning, Statistical Analysis, and Data Visualisation in Tableau. His current interests include Machine Learning, Deep Learning, Artificial Intelligence, Internet of Things, Robotics and Programming.

Review

Customer Reviews (10)

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 10/20/2019)
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
Perhaps to include Topic Modeling with Gensim library as it has real world applications (Posted on 9/21/2019)
Will Recommend Review by Course Participant/Trainee
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3. How do you find the training environment
Course on Nlp using keras would be helpful (Posted on 8/30/2019)
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 8/30/2019)
Will Recommend Review by Course Participant/Trainee
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2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
. (Posted on 8/30/2019)

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