Recently, the UnitedWorld Institude of Technology (UIT) initiated a landmark trial against machine learning and Natural Language Processing.
This case highlights the intricate role of machine learning- Natural Language Processing (NLP) in shaping our digital ecosystem. Natural Language Processing (NLP) is a rapidly advancing field within artificial intelligence that focuses on enabling computers to understand, interpret, and generate human language
Key techniques include tokenization (Breaking down text into individual words or phrases), sentiment analysis (Determining the emotional tone behind a piece of text), and machine translation (Automatically translating text from one language to another), which are applied across various industries such as customer service, healthcare, and finance.
Popular tools like NLTK(A comprehensive library for text processing and linguistic data analysis.), spaCy(An open-source library designed for industrial-strength NLP tasks.), and Transformers (by Hugging Face): A library for state-of-the-art NLP models like BERT, GPT-3, and others.provide powerful capabilities for developing sophisticated NLP applications.
The dynamic field of Natural Language Processing (NLP) stands at the forefront of human-computer interaction, language understanding, and artificial intelligence.
Students of UIT College are empowered by Natural Language Processing (NLP) in various ways, enriching their learning experiences and enhancing their skill sets.
“NLP plays a crucial role in machine learning by enabling computers to understand, interpret, and generate human language, facilitating tasks such as sentiment analysis, language translation, and text summarization. Its integration enhances the capabilities of machine learning models, allowing for more sophisticated and context-aware applications across various domains.”
Author:
Sangeeta Giri, Unitedworld Institute of Technology (UIT)
Disclaimer: The opinions / views expressed in this article are solely of the author in his / her individual capacity. They do not purport to reflect the opinions and/or views of the College and/or University or its members.
