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Natural Language Processing with Python NLTK Training

The Natural Language Toolkit, or more commonly NLTK, is a suite of libraries and programs for symbolic and statistical natural language processing (NLP) for English written in the Python programming language. NLTK is a leading platform for building Python programs to work with human language data. It provides easy-to-use interfaces to over 50 corpora and lexical resources such as WordNet, along with a suite of text processing libraries for classification, tokenization, stemming, tagging, parsing, and semantic reasoning, wrappers for industrial-strength NLP libraries. This course will teach you how to use NLTK effectively. The topics include

  • Semantic Representation
  • Sentiment Analysis
  • Lexical Analysis
  • Part-of-speech Tagger
  • Tree Model
  • Named-Entity Recognition

 

HRDF SBL Claimable for Employers Registered with HRDF

HRDF claimable

Course Code: M513

Course Booking

MYR880.00

Course Date

Course Time

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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

Module 1 Get Started on NLP and NLTK

  • What is NLP?
  • NLP Frameworks
  • Basic Text Analysis with Python
  • What is NLTK?
  • Install NLTK 

Module 2: Text Analysis with NLTK

  • Tokenize Words and Sentences
  • Stop Words
  • Regular Expression
  • Stemming
  • Lemmatizing
  • POS Tagging
  • Chucking

Module 3: NLTK Corpus

  • What is Corpus?
  • Popular NLTK Corpus
  • Your Own Corpus
  • Frequency Distribution
  • WordNet

Module 4: Text Classification

  • Supervised Text Classification with NLTK
  • Save and Load Model
  • Text Classification with Scikit Learn Classifiers
  • N-gram Models


Module 5: Word Embedding

  • What is Word Embedding
  • Word2Vec
  • CBOW and Skip-gram
  • Gensim

Who Should Attend

  • Developers
  • Programmers
  • Data Scientists
  • Data Analysts

Prerequisite

Prerequisite

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

  • Basic Python

Software Requirement

Pls download and install the following software prior to the class

Trainers

Machine Learning TrainerAmir Othman is a software engineer by profession. Being educated in Bauhaus Universität Weimar and Hochschule Ulm, he brings experiences from different facades of the world.

With expertise in web technology, natural language processing and machine learning, he is a freelance data scientist. Some of his works include two international news aggregator

www.kronologimalaysia.com and www.diezeitachse.de

He also holds an impressive port folio for data visualizations, primarily focusing on web based techniques.

TensorFlow TrainerDr. Nouar Dah is an experienced Lab Instructor at YPU. He has experience has a software engineer and senior hardware engineer. He has a PhD in Mechatronics Engineering from IIUM. He is well-versed in microcontrollers, FPGA, Matlab and VHDL.

Customer Reviews (3)

Might RecommendReview by MOHAMMED
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PROVIDE LAPTOPS , NOTES AND PENS FOR THE TRAINARES .

NO FACILITIES LIKE PRAYER ROOM , RESTAURANTS (Posted on 3/24/2018)
Might RecommendReview by Ismaeel
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
The place is far from restaurants
No place to pray
Chairs are not comfortable. (Posted on 3/24/2018)
Will RecommendReview by Nurul Amelina
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2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Make it a 2-day course (Posted on 1/17/2018)

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