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DEEP LEARNING FOR SENTIMENT ANALYSIS

A beginner-friendly introduction to sentiment analysis using Keras deep learning library in R.

  • Schedule

    23-26 February 2021

    18.30 – 21.30 (UTC+7)

  • Online-Interactive Learning

    Via Zoom

  • Investment

    Rp. 4.400.000

CLASS STARTS IN

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Course Summary

Text information over the internet is increasingly growing and sentiment analysis is now becoming a common tool to help companies, analysts and researchers to learn public opinions towards certain topics by extracting positive and negative sentiments from each consisting word of a text document.

This 4-days online workshop is a beginner-friendly introduction to sentiment analysis using Keras deep learning library in R. Throughout the online course, we will provide participants with hands-on examples and rich interactive experience. One Instructor and two Teaching Assistants will help participants troubleshoot or help with any difficulties encountered.

NOTE: This workshop will be delivered in Bahasa Indonesia.

LEARNING OUTCOMES

Upon completion of this workshop, you will be able to:

  • Work with the R language and open source packages for data cleansing and manipulation process
  • Understand the basic idea of neural networks and deep learning
  • Perform sentiment analysis using deep learning Long Short Term Memory (LSTM) using R Interface to Keras

Syllabus

  • Description of course materials, timeline, and objectives of the workshop
  • A brief explanation of text mining and machine learning
  • Description of the workflow, tools, and setup for the course
  • Introduction to R programming language
  • Working with RStudio environment
  • Using R Markdown for reproducible research
  • Inspecting data structure
  • Neural Network: what is it and how does it work? 
  • The exploding and vanishing gradient problem
  • Recurrent Neural Network (RNN) and the evolving LSTM
  • Read and pre-process text data in R
  • Transform text data into a token form
  • Build the LSTM architecture using R interface to Keras
  • Evaluate the model performance

STUDENT TESTIMONIALS

This testimonial video is taken after our previous Online Data Science Series: Time Series Analysis for Business Forecasting.

LEARN FROM ANYWHERE

Our learning format is online-interactive, you will feel the interactive experience as if you were present in a physical classroom. You can access the class using your Zoom account on pre-defined dates.

  • LEARN AT YOUR OWN PACE

    Zoom recording, course Books (PDF & HTML files), the dataset for practice, reference notes, and working files are accessible through our Learning Management System account.

  • PROOF YOUR MASTERY

    Show current and prospective employers of your mastery in computer vision with a signed certificate of completion.

  • CONNECT WITH LIKE MINDED PEOPLE

    Be a part of our data-passionate community with 5000+ members and 1000+ alumni.

FOR ABSOLUTE BEGINNERS

Workshops in this series are tailored to casual programmers and non-programmers that are taking their first steps into data science. It assumes no prior knowledge or academic background, and attendees will be introduced to the beautiful art of writing R / Python code to produce data visualization and build machine learning models. The workshop has a gentle learning slope that is designed with non-technical professionals and academics in mind.

Yes, you can still attend the workshop as it is a beginner-friendly workshop.

Our system will send you an email containing a link and details to join a Google Classroom.

Online learning will be conducted via Zoom.us, Link to join the Zoom Class will be announced via Google Classroom.

Learning materials can be obtain via Google Classroom

Yes, you will receive a certificate of completion.

YOUR INSTRUCTOR

TRESNA TANESYA

A Senior Data Science Instructor at Algoritma Data Science School, she has exceptional skills in extracting insights from data and using data visualization to communicate ideas. Tanesya has more than 1.000 hours of teaching experience and involved in numerous consultative data science training for our clients, to name a few:

  • Bank Central Asia
  • PT. Sigma Metrasys Solution
  • PT. Sigma Cipta Caraka
  • Tokopedia
  • Yogya Group