Defined.ai blog

SEPTEMBER 21, 2023

That’s the power of Natural Language Processing (NLP) at work. In this exploration, we’ll journey deep into some Natural Language Processing examples , as well as uncover the mechanics of how machines interpret and generate human language. What is Natural Language Processing?

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John Snow Labs

JUNE 20, 2023

Natural Language Processing (NLP) is a subfield of Artificial Intelligence (AI) that focuses on the interaction between computers and human language. NLP is a complex and challenging field, as human language is full of ambiguities and nuances.

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Mlearning.ai

JANUARY 26, 2023

Introduction Natural language processing (NLP) sentiment analysis is a powerful tool for understanding people’s opinions and feelings toward specific topics. This article will provide an overview of NLP sentiment analysis, how it works, and the different approaches that can be taken to assess sentiment.

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Heartbeat

FEBRUARY 8, 2023

Source: Author The field of natural language processing (NLP), which studies how computer science and human communication interact, is rapidly growing. By enabling robots to comprehend, interpret, and produce natural language, NLP opens up a world of research and application possibilities.

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Heartbeat

SEPTEMBER 20, 2023

Pixabay: by Activedia Image captioning combines natural language processing and computer vision to generate image textual descriptions automatically. Various algorithms are employed in image captioning, including: 1. These algorithms can learn and extract intricate features from input images by using convolutional layers.

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Heartbeat

JULY 18, 2023

Source: Author Natural Language Processing (NLP) is a field of study focused on allowing computers to understand and process human language. There are many different NLP techniques and tools available, including the R programming language. We will be using the “tm” package for preprocessing.

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Heartbeat

FEBRUARY 9, 2023

Photo by Brooks Leibee on Unsplash Introduction Natural language processing (NLP) is the field that gives computers the ability to recognize human languages, and it connects humans with computers. SpaCy is a free, open-source library written in Python for advanced Natural Language Processing.

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Heartbeat

MARCH 22, 2023

Learn NLP data processing operations with NLTK, visualize data with Kangas , build a spam classifier, and track it with Comet Machine Learning Platform Photo by Stephen Phillips — Hostreviews.co.uk on Unsplash At its core, the discipline of Natural Language Processing (NLP) tries to make the human language “palatable” to computers.

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Dlabs.ai

DECEMBER 9, 2021

Natural language processing (NLP) is a core part of artificial intelligence. So if you already have a grounding in the topic, this article might be more of a quick review, but either way, the basics are essential to growth, so we’re sure everyone can find value in the resources shared below.

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John Snow Labs

MAY 10, 2023

Without Natural Language Processing, the unstructured data is of no use to modern computer-based algorithms. NLP in Drug Discovery and Development Natural Language Processing is playing a crucial role in accelerating small molecule drug discovery.

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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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AI News

JULY 22, 2024

By leveraging data analytics, machine learning, and real-time processing, AI is turning the traditional approach to sports betting on its head. This article delves into how AI algorithms are transforming sports betting, providing actual data, statistics, and insights that demonstrate their impact.

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Towards AI

SEPTEMBER 5, 2024

Featured Community post from the Discord Aman_kumawat_41063 has created a GitHub repository for applying some basic ML algorithms. It offers pure NumPy implementations of fundamental machine learning algorithms for classification, clustering, preprocessing, and regression. Our must-read articles 1. Meme of the week!

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Lexalytics

MAY 25, 2021

Polar words and phrases are usually associated with strong or clearly defined sentiment, while non-polar refers to words and phrases typically used in everyday, mundane language. Once content has been hand-sorted, we set our algorithms free to learn to differentiate the two. So, then, what did the engine find?

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AI News

SEPTEMBER 26, 2024

With the advent of intelligent document processing technology, a new solution can now be implemented. This article explores how such technology works, its role in healthcare documentation, and its benefits, limitations, and implications for the future.

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AI News

JULY 3, 2024

By leveraging advanced algorithms and machine learning techniques, AI is transforming how marketers interact with their audiences, predict customer behaviour, and optimise their strategies for better results. Machine learning algorithms can identify patterns and preferences, allowing marketers to tailor their messages to individual customers.

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John Snow Labs

MAY 23, 2023

Visual question answering (VQA), an area that intersects the fields of Deep Learning, Natural Language Processing (NLP) and Computer Vision (CV) is garnering a lot of interest in research circles. A VQA system takes free-form, text-based questions about an input image and presents answers in a natural language format.

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Unite.AI

MAY 10, 2024

AI-powered research paper summarizers have emerged as powerful tools, leveraging advanced algorithms to condense lengthy documents into concise and readable summaries. In this article, we will explore the top AI research paper summarizers, each designed to streamline the process of understanding and synthesizing academic literature: 1.

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Analytics Vidhya

JANUARY 17, 2022

This article was published as a part of the Data Science Blogathon. 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?” ” Then I began to write a brief response.

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Marktechpost

JUNE 14, 2024

This article lists the top AI courses by Stanford that provide essential training in machine learning, deep learning, natural language processing, and other key AI technologies, making them invaluable for anyone looking to excel in the field. This beginner-friendly program, developed by DeepLearning.AI

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AWS Machine Learning Blog

SEPTEMBER 8, 2023

Publishers can have repositories containing millions of images and in order to save money, they need to be able to reuse these images across articles. Finding the image that best matches an article in repositories of this scale can be a time-consuming, repetitive, manual task that can be automated.

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Analytics Vidhya

AUGUST 2, 2022

This article was published as a part of the Data Science Blogathon. Introduction Natural Language Processing (NLP) can help you to understand any text’s sentiments. This is helpful for people to understand the emotions and the type of text they are looking over. NLP wanted to make machines understand […].

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Unite.AI

JULY 24, 2023

Using its 50+ templates, you can easily generate high-quality content in various formats, including long-form blog articles and short-form content social media posts. Generates high-quality content using natural language processing and machine learning algorithms. Jasper AI Pros User-friendly interface.

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Analytics Vidhya

MARCH 8, 2022

This article was published as a part of the Data Science Blogathon. Introduction Machine Learning (ML) is reaching its own and growing recognition that ML can play a crucial role in critical applications, it includes data mining, natural language processing, image recognition.

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AI News

AUGUST 1, 2024

Speech analytics driven by AI is speech recognition software that works using natural language processing and machine learning technologies. Find the answers in this article. Natural language processing allows a computer to understand spoken or written language. Increase sales.

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Unite.AI

AUGUST 1, 2024

Artificial intelligence has had a dramatic impact on language learning, offering personalized and efficient ways to master new tongues. AI-powered language learning apps leverage advanced algorithms, natural language processing, and adaptive technologies to create tailored learning experiences.

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Pickl AI

AUGUST 8, 2024

Summary: Support Vector Machine (SVM) is a supervised Machine Learning algorithm used for classification and regression tasks. Among the many algorithms, the SVM algorithm in Machine Learning stands out for its accuracy and effectiveness in classification tasks. What is the SVM Algorithm in Machine Learning?

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Towards AI

JANUARY 2, 2024

In this article, I will introduce you to Computer Vision, explain what it is and how it works, and explore its algorithms and tasks.Foto di Ion Fet su Unsplash In the realm of Artificial Intelligence, Computer Vision stands as a fascinating and revolutionary field. Healthcare, Security, and more.

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Marktechpost

NOVEMBER 11, 2024

Python has become the go-to language for data analysis due to its elegant syntax, rich ecosystem, and abundance of powerful libraries. This article explores the top 10 Python libraries that are essential for data analysis, providing tools for efficient data exploration, manipulation, visualization, and model development.

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Heartbeat

MAY 2, 2023

Deep learning allows machines to learn from vast amounts of data and carry out complex tasks that were previously only considered possible by humans (like translation between languages, recognizing objects etc.). In this article, we will examine some different popular deep learning algorithms and how they operate.

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Marktechpost

MAY 5, 2024

Additionally, Python has emerged as the primary language for various ML tasks. This article outlines the top ML courses in Python, offering readers the opportunity to enhance their skill set, transition careers, and meet the expectations of recruiters. and evaluating the same.

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Unite.AI

NOVEMBER 6, 2023

With these advancements, it’s natural to wonder: Are we approaching the end of traditional machine learning (ML)? In this article, we’ll look at the state of the traditional machine learning landscape concerning modern generative AI innovations. The two main types of traditional ML algorithms are supervised and unsupervised.

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Towards AI

OCTOBER 17, 2024

Read the full article on Substack! The article provides step-by-step instructions for implementing the solution, including data preprocessing, indexing, and integrating the Streamlit interface for user interaction. Our must-read articles 1. Prompting is still here, but its complexity may be short-lived. AI poll of the week!

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Marktechpost

MAY 20, 2024

It drives advancements in fields like computer vision, natural language processing, and autonomous systems, enabling breakthroughs in image and speech recognition, medical diagnostics, and personalized recommendations.

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Marktechpost

JULY 7, 2024

In order to understand and react to search inputs more accurately and individually, these sophisticated search tools make use of machine learning, natural language processing, and deep learning. It offers articles, tutorials, and learning materials, and it makes conversational suggestions for coding enhancements.

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Marktechpost

JUNE 3, 2024

This article lists top Intel AI courses, including those on deep learning, NLP, time-series analysis, anomaly detection, robotics, and edge AI deployment, providing a comprehensive learning path for leveraging Intel’s AI technologies.

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Unite.AI

AUGUST 2, 2023

To tackle the issue of single modality, Meta AI released the data2vec, the first of a kind, self supervised high-performance algorithm to learn patterns information from three different modalities: image, text, and speech. In this article, we will be talking about the data2vec model in-depth.

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