Module 4 - Natural Language Processing (NLP) Archives

Machine Translation

The Evolution to Neural Machine Translation The journey of machine translation (MT) has been nothing short of revolutionary, evolving through various phases to arrive at what we know today as Neural Machine Translation (NMT). Unlike its predecessors, NMT leverages deep learning and artificial neural networks to process and translate text. This method has significantly improved the quality and efficiency of translations, making it possible to handle the nuances and complexities of human language with remarkable accuracy. NMT operates on the principle of end-to-end learning. An entire sentence is fed into the system, which then processes and

Sentiment Analysis

What do you mean by sentiment analysis? At the heart of understanding human communication lies the ability to not just comprehend the literal meaning of words, but to also gauge the emotions and opinions they convey. This is where Sentiment Analysis, a fascinating branch of natural language processing (NLP), steps in. It serves as a bridge between the cold, hard data and the warm, nuanced spectrum of human emotions. The Essence of Analyzing Emotions and Opinions Imagine reading a social media post that says, “Just tried the new burger at Joe’s. Absolutely amazing!” Without having to

Named Entity Recognition (NER)

Named Entity Recognition in NLP In the realm of Natural Language Processing (NLP), one of the most intriguing tasks is extracting structured information from unstructured text. This process, known as Named Entity Recognition (NER), is akin to a treasure hunt within the vast sea of words, where the treasures are specific pieces of information categorized into predefined groups such as the names of people, organizations, locations, expressions of times, quantities, monetary values, and percentages. The Mechanism Behind Extracting Information At its core, NER involves meticulously scanning text to identify and classify named entities into these categories.

Basics of NLP

What is NLP (Natural Language Processing) ? Natural Language Processing (NLP) stands as a fascinating intersection between linguistics and computer science, aiming to bridge the gap between human communication and machine understanding. At its core, NLP endeavors to enable machines to interpret, comprehend, and mimic human language in a way that is both meaningful and useful. The First Steps into NLP: Tokenization and Stemming To dive into the intricacies of NLP, one must first become acquainted with the foundational process of tokenization. Imagine you’re trying to teach a friend, who has never heard a word of

Category: Module 4 – Natural Language Processing (NLP)

Machine Translation

Sentiment Analysis

Named Entity Recognition (NER)

Basics of NLP

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