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How Big Data Can Assist In The Understanding of Human Intentions

By Saifullah Razali

The magnitude of data generated online today is colossal. They are good for data analysis since they are very personal. For years, companies have been analyzing this type of data to leverage their position in the market of their choice. This field is called sentiment analysis.

On the other hand, figurative language is a technique used by speakers or writers to convey specific meanings based on intentions. It is the opposite of literal language and is regarded as one of the most challenging issues in Natural Language Processing (NLP). Spotting and handling them correctly is crucial in an automated NLP system due to its nature of having different meanings than normal.

Traditional studies used rule-based techniques to tackle this issue. However, more recent studies have shifted towards deep learning with the assistance of big data.

About the Speaker


Saifullah Razali is a Program Leader at the School of Engineering and Technology, PSB Academy. He is also teaching modules such as Big Data (collaboration with Coventry University, UK), Maths for Robotics and AI (collaboration with University of Hertfordshire, UK), and Machine Learning and Visualization (collaboration with Edith Cowan University, Australia).

He obtained his Bachelor of Information Technology (Hons) and Master of Science (Artificial Intelligence) in the year 2009 and 2011, respectively, both from Universiti Tun Abdul Razak, Malaysia. He is also currently completing studies at Universiti Putra Malaysia, Malaysia, and the University of Wollongong, Australia, where the focus is on using Artificial Intelligence to understand Figurative Language.

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