Pickl AI

MARCH 27, 2023

Well, it’s Natural Language Processing which equips the machines to work like a human. But there is much more to NLP, and in this blog, we are going to dig deeper into the key aspects of NLP, the benefits of NLP and Natural Language Processing examples. What is NLP? However, the road is not so smooth.

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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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Analytics Vidhya

JULY 4, 2023

Introduction NLP (Natural Language Processing) can help us to understand huge amounts of text data. Instead of going through a huge amount of documents by hand and reading them manually, we can make use of these techniques to speed up our understanding and get to the main messages quickly.

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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. NLP sentiment analysis uses natural language processing (NLP) to identify, extract, and analyze sentiment from text data.

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Analytics Vidhya

JUNE 21, 2023

Introduction Transformers are revolutionizing natural language processing, providing accurate text representations by capturing word relationships. The adaptability of transformers makes these models invaluable for handling various document formats. Applications span industries like law, finance, and academia.

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phData

APRIL 5, 2024

With an endless stream of documents that live on the internet and internally within organizations, the hardest challenge hasn’t been finding the information, it is taking the time to read, analyze, and extract it. What is Document AI from Snowflake? Document AI is a new Snowflake tool that ingests documents (e.g.,

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Analytics Vidhya

JULY 27, 2023

Introduction A highly effective method in machine learning and natural language processing is topic modeling. A corpus of text is an example of a collection of documents. This technique involves finding abstract subjects that appear there.

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KDnuggets

FEBRUARY 3, 2022

Transformer based language models such as BERT are really good at understanding the semantic context because they were designed specifically for that purpose. How can we use BERT to classify long text documents? BERT outperforms all NLP baselines, but as we say in the scientific community, “no free lunch”.

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Analytics Vidhya

JUNE 28, 2022

Introduction In the field of Natural Language Processing i.e., NLP, Lemmatization and Stemming are Text Normalization techniques. These techniques are used to prepare words, text, and documents for further processing. Languages such as English, Hindi consists of several words which are often derived […].

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KDnuggets

SEPTEMBER 7, 2022

Convert text documents to vectors using TF-IDF vectorizer for topic extraction, clustering, and classification.

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Analytics Vidhya

NOVEMBER 5, 2023

Introduction Innovative techniques continually reshape how machines understand and generate human language in the rapidly evolving landscape of natural language processing.

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Data Science Dojo

SEPTEMBER 28, 2023

LlamaIndex is an orchestration framework for large language model (LLM) applications. LLMs like GPT-4 are pre-trained on massive public datasets, allowing for incredible natural language processing capabilities out of the box. The data is converted into a simple document format that is easy for LlamaIndex to process.

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Flipboard

AUGUST 25, 2023

Ever-growing volumes of unstructured data stored in countless document formats significantly complicate data processing and timely access to relevant …

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AWS Machine Learning Blog

MAY 31, 2023

Now, Amazon Translate offers real-time document translation to seamlessly integrate and accelerate content creation and localization. This feature eliminates the wait for documents to be translated in asynchronous batch mode. This feature eliminates the wait for documents to be translated in asynchronous batch mode.

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Data Science Dojo

JULY 22, 2023

In the field of software development, generative AI is already being used to automate tasks such as code generation, bug detection, and documentation. For example: Prompt: “Recommend a library for natural language processing.” Prompt: "Generate documentation for the following function."

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Data Science Dojo

JULY 2, 2023

Over the past few years, a shift has shifted from Natural Language Processing (NLP) to the emergence of Large Language Models (LLMs). Entity recognition: It reduces human error by classifying documents and minimizing manual and repetitive work.

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KDnuggets

OCTOBER 19, 2022

The post explains the significance of CountVectorizer and demonstrates its implementation with Python code.

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Data Science Dojo

AUGUST 31, 2023

The UAE’s commitment to developing cutting-edge technology like NOOR and Falcon demonstrates its determination to be a global leader in the field of AI and natural language processing. This initiative addresses the gap in the availability of advanced language models for Arabic speakers.

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Becoming Human

MAY 9, 2024

Artificial intelligence, machine learning, natural language processing, and other related technologies are paving the way for a smarter “everything.” As a result, we can automate manual processes, improve risk management, comply with regulations, and maintain data consistency. How Does Data Labeling Work in Finance?

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Towards AI

APRIL 28, 2023

Interactively query your PDF documents and extract insights. But with the help of natural language processing and chatbot technology, healthcare professionals can now ask questions and extract insights quickly and efficiently from healthcare PDF documents. Document used to test this chatbot application?Before

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AWS Machine Learning Blog

MARCH 31, 2023

Intelligent document processing (IDP) with AWS helps automate information extraction from documents of different types and formats, quickly and with high accuracy, without the need for machine learning (ML) skills. For more information, refer to Intelligent document processing with AWS AI services: Part 1.

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Flipboard

NOVEMBER 7, 2023

Recent advances in computer vision (CV) and natural language processing have been driven by exploiting big data on practical applications. million technical drawings with 132,890 object names and 22,394 viewpoints extracted from 14 years of US design patent documents.

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Dataconomy

AUGUST 10, 2023

These systems, powered by artificial intelligence, are designed to assist healthcare providers in documenting patient encounters, retrieving information, and performing other administrative tasks that traditionally consumed valuable time and resources. What is an AI medical scribe? Can AI write medical notes? Yes, AI can write medical notes.

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Data Science Dojo

SEPTEMBER 11, 2023

From virtual assistants like Siri and Alexa to personalized recommendations on streaming platforms, chatbots, and language translation services, language models surely are the engines that power it all.

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Towards AI

FEBRUARY 20, 2024

The core of the problem lies in the fact that tools like ChatGPT are trained on widely available information, which doesn’t include a company’s internal documents or industry-specific nuances. Enter RAG pipelines combine retrieval and language generation modules to enhance natural language processing tasks.

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Towards AI

DECEMBER 28, 2023

The introduction of attention mechanisms has notably altered our approach to working with deep learning algorithms, leading to a revolution in the realms of computer vision and natural language processing (NLP). In 2023, we witnessed the substantial transformation of AI, marking it as the ‘year of AI.’

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Chatbots Life

APRIL 27, 2024

Enhancing the Bot’s Capabilities Source: BotPenguin To make your bot more engaging and useful, you can consider implementing the following features: Natural Language Processing: Use NLP libraries to enable your bot to understand and respond to user queries in a more human-like manner.

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Towards AI

FEBRUARY 20, 2024

The state-of-the-art Natural Language Processing (NLP) models used to be Recurrent Neural Networks (RNN) among others. Transformer architecture significantly improved natural language task performance compared to earlier RNNs. Author(s): Dimitris Effrosynidis Originally published on Towards AI.

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DrivenData Labs

MAY 18, 2023

I work on machine learning for natural language processing, and I’m particularly interested in few-shot learning, lifelong learning, and societal and health applications such as abuse detection, misinformation, mental ill-health detection, and language assessment. Data science is a broad field.

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Towards AI

JULY 20, 2023

Natural Language Processing Getting desirable data out of published reports and clinical trials and into systematic literature reviews (SLRs) — a process known as data extraction — is just one of a series of incredibly time-consuming, repetitive, and potentially error-prone steps involved in creating SLRs and meta-analyses.

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Towards AI

JULY 19, 2023

We speak with each other using various languages Ex: English, German, French, Hindi, etc… Photo by Alexandra on Unsplash Natural Language Processing (NLP) is just one part of Artificial Intelligence (AI) that helps Computers understand and process human language.

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Data Science Dojo

AUGUST 3, 2023

Here are some other examples of how vector databases can be used: Searching for similar images Finding similar documents Recommending products to customers Detecting fraud Classifying text Translating languages As you can see, vector databases have a wide range of potential applications.

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Data Science Dojo

AUGUST 18, 2023

Transformers are a type of neural network that are well-suited for natural language processing tasks. They are able to learn long-range dependencies between words, which is essential for understanding the nuances of human language. This can help to speed up the fine-tuning process and improve the accuracy of the results.

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Heartbeat

AUGUST 23, 2023

image source: stoodnt Time is important in the broad domain of legal discovery, where mountains of documents hide the answers to difficult cases. Every minute spent digesting jargon-filled texts and searching through mountains of legal documents delays justice and incurs significant costs.

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Mlearning.ai

APRIL 8, 2023

Introduction Natural language processing and deep learning models have seen significant advancements in the last decade, with attention-based Transformer models becoming increasingly popular for their ability to perform efficiently in various tasks that traditional Recurrent Neural Networks (RNNs) struggled with.

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Dataconomy

JANUARY 2, 2024

With AI, businesses can leverage technologies like speech recognition and natural language processing to automatically transcribe spoken words into text. Look for tools that have advanced speech recognition and natural language processing technologies to ensure accurate and error-free transcriptions.

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Becoming Human

MAY 9, 2024

In this article, we’ll talk about what named entity recognition is and why it holds such an integral position in the world of natural language processing. Introduction about NER Named entity recognition (NER) is a fundamental aspect of natural language processing (NLP).

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