Analytics Vidhya

MARCH 17, 2019

Introduction Natural Language Processing (NLP) applications have become ubiquitous these days. I seem to stumble across websites and applications regularly that are leveraging NLP. The post 8 Excellent Pretrained Models to get you Started with Natural Language Processing (NLP) appeared first on Analytics Vidhya.

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Analytics Vidhya

SEPTEMBER 2, 2021

This article was published as a part of the Data Science Blogathon Overview Sentence classification is one of the simplest NLP tasks that have a wide range of applications including document classification, spam filtering, and sentiment analysis. A sentence is classified into a class in sentence classification.

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Analytics Vidhya

DECEMBER 20, 2020

Introduction A language is a systematic form of communication that can take a variety of forms. There are approximately 7,000 languages believed to be. The post Multilingual languages in Natural Language Processing: Targeting Low Resource Indian Languages appeared first on Analytics Vidhya.

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Analytics Vidhya

JANUARY 7, 2021

The post Introduction to Automatic Speech Recognition and Natural Language Processing appeared first on Analytics Vidhya. ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction In this article, we will take a closer look at.

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Analytics Vidhya

JUNE 6, 2022

Introduction Hello friends, In this article, we will discuss End to End NLP pipeline in an easy way. If we have to build any NLP-based software using Machine Learning or Deep Learning then we can use this pipeline. Natural Language Processing (NLP) is one […].

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NLP Natural Language Processing Deep Learning Machine Learning 343

Analytics Vidhya

JANUARY 5, 2022

Objective This blog post will learn how to use the Hugging face transformers functions to perform prolonged Natural Language Processing tasks. Prerequisites Knowledge of Deep Learning and Natural Language Processing (NLP) Introduction Transformers was introduced in the paper Attention is all you need; it is […].

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NLP Natural Language Processing Deep Learning Data Science 318

Analytics Vidhya

DECEMBER 20, 2020

Introduction Language is a systematic form of communication that can take a variety of forms. There are approximately 7,000 languages believed to be spoken. The post Multilingualism in Natural Language Processing targeting low resource Indian languages appeared first on Analytics Vidhya.

Natural Language Processing 291

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Analytics Vidhya

DECEMBER 15, 2019

Overview Neural fake news (fake news generated by AI) can be a huge issue for our society This article discusses different Natural Language Processing. The post An Exhaustive Guide to Detecting and Fighting Neural Fake News using NLP appeared first on Analytics Vidhya.

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Analytics Vidhya

NOVEMBER 19, 2019

Overview The attention mechanism has changed the way we work with deep learning algorithms Fields like Natural Language Processing (NLP) and even Computer Vision. The post A Comprehensive Guide to Attention Mechanism in Deep Learning for Everyone appeared first on Analytics Vidhya.

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Analytics Vidhya

JANUARY 17, 2022

Introduction A few days ago, I came across a question on “Quora” that boiled down to: “How can I learn Natural Language Processing in just only four months?” The post Roadmap to Master NLP in 2022 appeared first on Analytics Vidhya. ” Then I began to write a brief response.

NLP 400

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Analytics Vidhya

APRIL 23, 2021

Introduction Machine Learning and Natural Language Processing are important subfields. The post Role of Machine Learning in Natural Language Processing appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon.

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Natural Language Processing Machine Learning Data Science Deep Learning 243

Analytics Vidhya

JULY 20, 2020

Introduction With the advancement in deep learning, neural network architectures like recurrent neural networks (RNN and LSTM) and convolutional neural networks (CNN) have shown. The post Transfer Learning for NLP: Fine-Tuning BERT for Text Classification appeared first on Analytics Vidhya.

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Analytics Vidhya

SEPTEMBER 20, 2023

Introduction Diffusion Models have gained significant attention recently, particularly in Natural Language Processing (NLP). Based on the concept of diffusing noise through data, these models have shown remarkable capabilities in various NLP tasks.

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NLP Natural Language Processing Deep Learning 357

Analytics Vidhya

DECEMBER 25, 2022

Introduction There have been many recent advances in natural language processing (NLP), including improvements in language models, better representation of the linguistic structure, advancements in machine translation, increased use of deep learning, and greater use of transfer learning.

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Analytics Vidhya

AUGUST 25, 2024

This is the beauty of Amazon Alexa, a smart speaker that is driven by Natural Language Processing and Artificial Intelligence. But […] The post How Amazon Alexa Works Using NLP appeared first on Analytics Vidhya.

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Analytics Vidhya

DECEMBER 30, 2022

Introduction Natural language processing (NLP) is a field of computer science and artificial intelligence that focuses on the interaction between computers and human (natural) languages. Natural language processing (NLP) is […].

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NLP Natural Language Processing Artificial Intelligence Artificial Intelligence 316

Analytics Vidhya

DECEMBER 25, 2022

Introduction There have been many recent advances in natural language processing (NLP), including improvements in language models, better representation of the linguistic structure, advancements in machine translation, increased use of deep learning, and greater use of transfer learning.

NLP 271

NLP Natural Language Processing Deep Learning Chatbots 271

Analytics Vidhya

APRIL 16, 2024

Introduction Welcome into the world of Transformers, the deep learning model that has transformed Natural Language Processing (NLP) since its debut in 2017.

Natural Language Processing 346

Natural Language Processing NLP Deep Learning BERT 346

Analytics Vidhya

OCTOBER 16, 2023

Introduction Fine-tuning a natural language processing (NLP) model entails altering the model’s hyperparameters and architecture and typically adjusting the dataset to enhance the model’s performance on a given task.

NLP 342

NLP Natural Language Processing Deep Learning Machine Learning 342

Analytics Vidhya

JULY 21, 2023

Introduction Recent advances in natural language processing (NLP) are essential for data scientists to stay on top. NLP books are priceless sources that provide in-depth knowledge, practical guidance, and cutting-edge techniques in the field.

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Analytics Vidhya

FEBRUARY 4, 2023

One of the most promising areas within AI in healthcare is Natural Language Processing (NLP), which has the potential to revolutionize patient care by facilitating more efficient and accurate data analysis and communication.

NLP 291

NLP Natural Language Processing Artificial Intelligence Artificial Intelligence 291

Analytics Vidhya

JANUARY 24, 2024

Introduction Welcome to the world of Large Language Models (LLM). In the old days, transfer learning was a concept mostly used in deep learning. However, in 2018, the “Universal Language Model Fine-tuning for Text Classification” paper changed the entire landscape of Natural Language Processing (NLP).

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Automation Natural Language Processing Large Language Models Deep Learning 336

Analytics Vidhya

AUGUST 17, 2023

Introduction spaCy is a Python library for Natural Language Processing (NLP). NLP pipelines with spaCy are free and open source. Developers use it to create information extraction and natural language comprehension systems, as in Cython.

NLP 271

NLP Natural Language Processing Python Deep Learning 271

Marktechpost

OCTOBER 25, 2024

Natural Language Processing (NLP) is a rapidly growing field that deals with the interaction between computers and human language. To help you on your journey to mastering NLP, we’ve curated a list of 20 GitHub repositories that offer valuable resources, code examples, and pre-trained models.

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Natural Language Processing NLP Deep Learning Python 116

Analytics Vidhya

JUNE 9, 2019

Introduction “I don’t want a full report, just give me a summary of the results” I have often found myself in this situation – The post Comprehensive Guide to Text Summarization using Deep Learning in Python appeared first on Analytics Vidhya.

Deep Learning 307

Deep Learning Python Natural Language Processing NLP 307

Analytics Vidhya

MAY 29, 2024

Introduction One of the most important tasks in natural language processing is text summarizing, which reduces long texts to brief summaries while maintaining important information.

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Marktechpost

MAY 3, 2024

Natural Language Processing (NLP) is integral to artificial intelligence, enabling seamless communication between humans and computers. Researchers from East China University of Science and Technology and Peking University have surveyed the integrated retrieval-augmented approaches to language models.

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Analytics Vidhya

JUNE 18, 2019

Overview The Transformer model in NLP has truly changed the way we work with text data Transformer is behind the recent NLP developments, including. The post How do Transformers Work in NLP? A Guide to the Latest State-of-the-Art Models appeared first on Analytics Vidhya.

NLP 307

NLP Natural Language Processing Deep Learning Data Science 307

Analytics Vidhya

MAY 20, 2024

Introduction Artificial intelligence has made tremendous strides in Natural Language Processing (NLP) by developing Large Language Models (LLMs). These models, like GPT-3 and GPT-4, can generate highly coherent and contextually relevant text.

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Analytics Vidhya

MAY 19, 2024

By leveraging natural language processing (NLP) and machine learning, conversational AI systems can understand and respond to human language, creating more engaging and efficient interactions.

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Marktechpost

DECEMBER 30, 2023

Natural Language Processing (NLP) is useful in many fields, bringing about transformative communication, information processing, and decision-making changes. In conclusion, the study is a significant step for effective sarcasm detection in NLP. It is being widely used for sarcasm detection, too.

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AssemblyAI

NOVEMBER 9, 2023

In Natural Language Processing (NLP), Text Summarization models automatically shorten documents, papers, podcasts, videos, and more into their most important soundbites. The models are powered by advanced Deep Learning and Machine Learning research. What is Text Summarization for NLP?

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Analytics Vidhya

FEBRUARY 20, 2023

Introduction Natural language processing, deep learning, speech recognition, and pattern identification are just a few artificial intelligence technologies that have consistently advanced in recent years. This has helped chatbots grow significantly.

Machine Learning 291

Machine Learning Natural Language Processing Deep Learning Robotics 291

Marktechpost

MAY 20, 2024

Deep learning is a subset of machine learning that involves training neural networks with multiple layers to recognize patterns and make data-based decisions. This article lists the top courses in deep learning that provide comprehensive knowledge and practical skills necessary to excel in this transformative field.

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Marktechpost

AUGUST 31, 2024

This open-source model, built upon a hybrid architecture combining Mamba-2’s feedforward and sliding window attention layers, is a milestone development in natural language processing (NLP). Performance and Benchmarking Rene has been evaluated against several common NLP benchmarks.

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Analytics Vidhya

AUGUST 17, 2022

Introduction Transformers were one of the game-changer advancements in Natural language processing in the last decade. A team at Google Brain developed Transformers in 2017, and they are now replacing RNN models like long short-term memory(LSTM) as the model of choice for NLP […].

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IBM Journey to AI blog

JULY 6, 2023

While artificial intelligence (AI), machine learning (ML), deep learning and neural networks are related technologies, the terms are often used interchangeably, which frequently leads to confusion about their differences. How do artificial intelligence, machine learning, deep learning and neural networks relate to each other?

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