MIRAI 2nd INTERNATIONAL WORKSHOP ON
Artificial Intelligence for Text Analysis and Language Understanding
February 11th-12th, 2021
Registration Deadline: February 10th, 2021
About the Workshop
This workshop focuses on artificial intelligence methods and techniques for text analysis and language understanding using Natural Language Processing (NLP). NLP combines elements of linguistics and programming to enable and improve communication between people and machines by teaching computers to “read,” “listen,” then “understand” human language mainly through text.
NLP is essential to develop highly demanding applications such as chatbots found on websites and Facebook pages, recommendation systems such as the ones used in Amazon and Netflix, search engines such as Google, spam filters on email servers, and even auto-complete and auto-correct functions on smartphone devices. This workshop will provide the knowledge of how to process and analyze text data in order to develop your own projects using Natural Language Processing.
Why take this workshop?
After Attending this workshop
- You will have an overall understanding of how to process and analyze text data in order to develop your own projects using Natural Language Processing.
- You will have hands-on experience in programming NLP algorithms
- You will be ready to apply to internships at companies in diverse industries that employ text analysis or data processing.
- You will receive 10-days one-to-one mentoring.
- You will receive an official certificate that you can add to your CV and show potential.


What and When
This workshop consists of two parts
- Theory
- Projects: Technical hands-on training using Python
Duration: 6hrs (two sessions of 3hrs each)
*10-day one-to-one mentoring will be provided on a follow up project after the workshop finishes.
Date:
Mexico city: February 11th-12th, 7:30pm-10:30pm
Tokyo, Japan: February 12th-13th, 10:30 am-1:30 pm
New Dehli, India: February 12th-13th, 7:00am-10:00am.
Instructor
Eng. Nagaraju Dasar
Currently, Eng. Nagaraju is working as a Research Associate at the Indian Institute of Technology (IIT), Delhi – the top technical university in India – and as a Guest Researcher at Mirai Innovation Research Institute, Osaka, Japan. He has extensive experience in Machine Learning and Artificial Intelligence. His major research areas include Health and Bio science with Machine Intelligence, Natural Language Processing (NLP) and Robotics. Eng. Nagaraju has made significant contributions to the government of India as a member of the Indian Society of Artificial Intelligence and Law for a AI regulations in India.
Theory
Introduction to Natural Language Processing
Applications of Natural Language Processing
Basics of Numpy and Pandas
Training of Natural Language Processing Toolkit (NLTK)
Tokenization, Stemming, Lemmatization
Regular Expressions
Text Cleaning
Stopwords Removal
Parts of Speech Tagging (POS)
Named Entity Recognition ( NER)
Text Modelling
Bag of Words Modelling
TF-IDF Modelling
Synonyms and antonyms tracking
Negotiation Tracking
Linear Sentiment Analysis and Linear Discriminant Analysis
In workshop Projects
Project 1 – Text Summarization Algorithm implementation
Project 2 – Google Page Ranking Algorithms Development
Project 3 – Amazon Review Sentiment Analysis
Project 4 – Twitter Tweets Classification
Requirement
- Knowledge of basic Python programming.
* There will be a brief review of Python programming
Follow up Projects
After the workshop sessions, a 10-day one-to-one mentoring* will be provided on one of the follow up projects in the following list:
Text Tagging
Language Identification
Speech Recognition
Speech to Text Conversion
Text to Speech Conversion
Document Summarization
Spam Detection
* The mentoring sessions will be for 10 days after the workshop with a limit of 30 min per session per day. The details of the follow up projects will be given during the workshop.
Participation Fee
Registration Deadline: February 10th 2021
Price | ||
---|---|---|
Early Bird | Before February 6th | 99 USD |
Regular | After February 6th | 130 USD |