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Natural Language Processing with Python NLTK Training

Natural Language Processing with Python NLTK Training

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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.

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 NICF Text Analytics with Python

Course Code: C475

Course Booking

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.

$600.00 (GST-exclusive)

$654.00 (GST-inclusive)

Mode of Training

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

Course Date * Course Date

Course Time * Course Time

9:30am - 5:30pm

No. of Participants

Sponsorship

Self-Sponsored
Employer-Sponsored

Name(s) on Certificate *

Additional Message or Emails for Course Notification

* Required Fields

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 and get back to you asap.

Course 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.
Note the minimal class size to start a class is 3 Pax.

Course Details

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

Basic Python

Software Requirement

Please download and install the following software prior to the class

Python 3.x https://www.python.org/downloads/
Sublime Text 3 https://www.sublimetext.com/3
Pycharm https://www.jetbrains.com/pycharm/download/

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Aspiring Software Developer
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Data Scientist
System Administrator
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Research Scientist
Finance Professional
Machine Learning Enthusiast
GIS (Geographic Information System) Specialist
IT Consultant
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Database Administrator
Tech Entrepreneur.

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.

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 7/26/2023)

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

Can give more details on how to develop a chatbot (Posted on 7/24/2021)

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

Content is wide and it becomes more technical during the later part. Break it up into 2 days.

Instructor helped as much as she could. Hope to see course for performing NLTK directly on database like mongoDB in future. (Posted on 6/22/2020)

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

Now it’s good

Nope but very weak wifi connections (Posted on 2/7/2020)

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

To provide interesting applications of NLP by different companies or examples in our everyday lives (Posted on 12/5/2019)