Tag: nlp

Transfer Learning in NLP

Transfer Learning in NLP

What is Transfer Learning? Transfer learning, a cornerstone in the realm of Natural Language Processing (NLP), transforms the way we approach language models. It’s akin to giving a new employee a comprehensive manual about your company’s operations, significantly shortening their learning curve. In NLP, this “manual” comes in the form of pre-trained language models which have already learned a vast amount of information about language from extensive datasets. Pre-trained Language Models: The Iceberg Beneath Imagine an iceberg, where what you see above the water is the specific NLP task at hand, but beneath the surface lies

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Sentiment Analysis

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

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Named Entity Recognition (NER)

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.

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