Unite.AI

DECEMBER 7, 2024

These innovative platforms combine advanced AI and natural language processing (NLP) with practical features to help brands succeed in digital marketing, offering everything from real-time safety monitoring to sophisticated creator verification systems.

AI Tools 278

AI Tools Automation NLP Algorithm 278

Unite.AI

AUGUST 11, 2024

Users can set up custom streams to monitor keywords, hashtags, and mentions in real-time, while the platform's AI-powered sentiment analysis automatically categorizes mentions as positive, negative, or neutral, providing a clear gauge of public perception.

Categorization 300

Categorization AI AI Automation 300

Artificial Corner

AUGUST 29, 2023

Through these wordclouds, we can see which areas the airline should look into and review their processes on. Topic modelling is a type of statistical modelling in Natural Language Processing to identify topics among a collection of documents. Moving on to topic modelling. The new distribution will be equal as such.

Natural Language Processing 97

Natural Language Processing Machine Learning Data Analysis Data Science 97

AssemblyAI

NOVEMBER 6, 2024

Podcast Production AI-based tools make podcast production more efficient by transforming notes into entertaining or informative scripts and generating episode summaries for easy sharing. This boosts productivity and helps creators focus on content strategy.

AI 147

AI AI Natural Language Processing Categorization 147

Unite.AI

JUNE 2, 2023

In the age of information overload, managing emails can be a daunting task. Based on this, it makes an educated guess about the importance of incoming emails, and categorizes them into specific folders. Its powerful AI capabilities allow it to understand and categorize emails, draft responses, and manage follow-ups efficiently.

Categorization 261

Categorization Natural Language Processing Automation Machine Learning 261

AWS Machine Learning Blog

DECEMBER 23, 2024

In a world where decisions are increasingly data-driven, the integrity and reliability of information are paramount. Capturing complex human queries with graphs Human questions are inherently complex, often requiring the connection of multiple pieces of information.

Generative AI 122

Generative AI Natural Language Processing Prompt Engineer Prompt Engineering 122

IBM Journey to AI blog

MARCH 27, 2024

This article explores an innovative way to streamline the estimation of Scope 3 GHG emissions leveraging AI and Large Language Models (LLMs) to help categorize financial transaction data to align with spend-based emissions factors. Why are Scope 3 emissions difficult to calculate? This is where LLMs come into play.

ESG 238

ESG Categorization Large Language Models NLP 238

AWS Machine Learning Blog

MARCH 20, 2025

In a world whereaccording to Gartner over 80% of enterprise data is unstructured, enterprises need a better way to extract meaningful information to fuel innovation. Next, Amazon Comprehend or custom classifiers categorize them into types such as W2s, bank statements, and closing disclosures, while Amazon Textract extracts key details.

Automation 105

Automation IDP Generative AI Prompt Engineer 105

Marktechpost

JANUARY 21, 2024

Large Language Models (LLMs) have exhibited remarkable prowess across various natural language processing tasks. However, applying them to Information Retrieval (IR) tasks remains a challenge due to the scarcity of IR-specific concepts in natural language.

Large Language Models 140

Large Language Models Natural Language Processing Categorization NLP 140

AWS Machine Learning Blog

MAY 7, 2024

Large language models (LLMs) have unlocked new possibilities for extracting information from unstructured text data. This post walks through examples of building information extraction use cases by combining LLMs with prompt engineering and frameworks such as LangChain.

Prompt Engineering 115

Prompt Engineering Prompt Engineer Large Language Models LLM 115

Unite.AI

MAY 10, 2024

This innovative functionality enables users to ask questions and retrieve specific information from the PDF document, making it easier to navigate and understand complex research papers. One of the standout features of Tenorshare AI PDF Tool is its interactive chat interface, powered by ChatGPT.

AI Researcher 147

AI Researcher AI Research Natural Language Processing Machine Learning 147

Unite.AI

NOVEMBER 10, 2024

Sentiment analysis to categorize mentions as positive, negative, or neutral. It uses natural language processing (NLP) algorithms to understand the context of conversations, meaning it's not just picking up random mentions! Clean and intuitive user interface that's easy to navigate. Easy reporting functionality.

Categorization 147

Categorization AI Tools Natural Language Processing Algorithm 147

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.

Natural Language Processing 52

Natural Language Processing NLP Machine Learning Deep Learning 52

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.

Natural Language Processing 52

Natural Language Processing NLP Deep Learning Computer Vision 52

Unite.AI

MAY 29, 2024

This advancement has spurred the commercial use of generative AI in natural language processing (NLP) and computer vision, enabling automated and intelligent data extraction. This method involves hand-keying information directly into the target system. It is often easier to adopt due to its lower initial costs.

Data Extraction 273

Data Extraction Neural Network Large Language Models NLP 273

Marktechpost

JUNE 10, 2024

The emergence of large language models (LLMs) such as Llama, PaLM, and GPT-4 has revolutionized natural language processing (NLP), significantly advancing text understanding and generation. These causes can be broadly categorized into three parts: 1.

Large Language Models 141

Large Language Models Categorization Data Quality Natural Language Processing 141

AWS Machine Learning Blog

FEBRUARY 6, 2025

These variables often involve complex sequences of events, combinations of occurrences and non-occurrences, as well as detailed numeric calculations or categorizations that accurately reflect the diverse nature of patient experiences and medical histories. About the Authors Javier Beltrn is a Senior Machine Learning Engineer at Aetion.

Generative AI 70

Generative AI Natural Language Processing Machine Learning LLM 70

Unite.AI

SEPTEMBER 18, 2023

Types of AI in ITSM AI in ITSM can be categorized into three types: automation, chatbots, and predictive analysis. Modern AI chatbots are equipped with Natural Language Processing ( NLP ) to understand and respond to user queries in a more human-like manner. ” That is really golden information.

Chatbots 261

Chatbots Automation Algorithm Natural Language Processing 261

Unite.AI

AUGUST 27, 2024

It pulls from multiple trustworthy sources, so you don't have to juggle a bunch of tabs and feel overwhelmed by information. Verdict Perplexity AI delivers precise, evidence-backed answers with real-time, in-depth information and follow-up questions. Plus, despite citing its sources, its information may still be inaccurate.

ChatGPT 264

ChatGPT AI AI AI Tools 264

John Snow Labs

MAY 10, 2023

Without Natural Language Processing, the unstructured data is of no use to modern computer-based algorithms. Boosting phenotyping capabilities – Phenotypes are physical/physiological characteristics in an organism that can be related to behavior, biological processes, or physical appearance.

Natural Language Processing 52

Natural Language Processing NLP Categorization Data Scientist 52

Unite.AI

SEPTEMBER 18, 2023

Blockchain technology can be categorized primarily on the basis of the level of accessibility and control they offer, with Public, Private, and Federated being the three main types of blockchain technologies. Ethereum is a decentralized blockchain platform that upholds a shared ledger of information collaboratively using multiple nodes.

Deep Learning 321

Deep Learning Artificial Intelligence Artificial Intelligence AI 321

Probably Approximately a Scientific Blog

JANUARY 12, 2021

Figure 1: adversarial examples in computer vision (left) and natural language processing tasks (right). Temporal commonsense: natural language rarely communicates explicit temporal information. This discrepancy means that our model doesn't imitate human reasoning process - it works differently.

Natural Language Processing 52

Natural Language Processing BERT NLP Neural Network 52

Marktechpost

MAY 5, 2024

Consequently, there’s been a notable uptick in research within the natural language processing (NLP) community, specifically targeting interpretability in language models, yielding fresh insights into their internal operations. Recent approaches automate circuit discovery, enhancing interpretability.

Natural Language Processing 111

Natural Language Processing Categorization NLP Neural Network 111

Unite.AI

APRIL 16, 2024

In doing so, they equip stakeholders with the insights needed to remain abreast of regulatory changes and make well-informed decisions amidst the dynamic regulatory landscape. Our internal platform, GRIP, exemplifies how comprehensive data insights can simplify compliance processes.

Automation 162

Automation Natural Language Processing Machine Learning AI 162

Unite.AI

NOVEMBER 8, 2023

Natural Language Processing (NLP) has experienced some of the most impactful breakthroughs in recent years, primarily due to the the transformer architecture. It results in sparse and high-dimensional vectors that do not capture any semantic or syntactic information about the words.

BERT 298

BERT NLP Neural Network Natural Language Processing 298

Marktechpost

APRIL 6, 2024

Recent advancements integrate machine learning and natural language processing with TRIZ to streamline its reasoning process. Systems like PAT-ANALYZER and PaTRIZ automatically extract contradictory information from patent texts.

Large Language Models 135

Large Language Models Automation Natural Language Processing Categorization 135

Unite.AI

AUGUST 22, 2023

The internet has created such a massive explosion of content and e-commerce products and, while this development is certainly a significant milestone, the sheer overwhelming amount of information now available means that it’s also harder than ever–and becoming increasingly difficult–to find what you are actually looking for as a user.

Big Data 246

Big Data Neural Network Natural Language Processing Machine Learning 246

Marktechpost

JANUARY 30, 2025

Although graphs have high utility, they have been criticized for intricate text-based queries and manual exploration, which obstruct the extraction of pertinent information. This article discusses the latest research that uses language models to streamline information extraction from graph databases.

Chatbots 76

Chatbots Natural Language Processing Categorization Data Platform 76

AWS Machine Learning Blog

JUNE 25, 2024

Manually analyzing and categorizing large volumes of unstructured data, such as reviews, comments, and emails, is a time-consuming process prone to inconsistencies and subjectivity. Businesses can use LLMs to gain valuable insights, streamline processes, and deliver enhanced customer experiences. No explanation is required.

Automation 119

Automation Prompt Engineer Prompt Engineering Categorization 119

IBM Journey to AI blog

AUGUST 28, 2023

Text mining —also called text data mining—is an advanced discipline within data science that uses natural language processing (NLP) , artificial intelligence (AI) and machine learning models, and data mining techniques to derive pertinent qualitative information from unstructured text data.

Data Mining 170

Data Mining Convolutional Neural Networks Categorization Machine Learning 170

IBM Journey to AI blog

FEBRUARY 23, 2024

Beyond the simplistic chat bubble of conversational AI lies a complex blend of technologies, with natural language processing (NLP) taking center stage. It aids businesses in gathering and analyzing data to inform strategic decisions. What makes a good AI conversationalist?

Conversational AI 291

Conversational AI NLP Chatbots AI 291

John Snow Labs

MAY 24, 2023

Therefore, the data needs to be properly labeled/categorized for a particular use case. In this article, we will discuss the top Text Annotation tools for Natural Language Processing along with their characteristic features. The model must be taught to identify specific entities to make accurate predictions.

Natural Language Processing 52

Natural Language Processing NLP Machine Learning Auto-classification 52

Marktechpost

MAY 9, 2024

In Natural Language Processing (NLP) tasks, data cleaning is an essential step before tokenization, particularly when working with text data that contains unusual word separations such as underscores, slashes, or other symbols in place of spaces.

NLP 120

NLP Natural Language Processing Metadata Large Language Models 120

AssemblyAI

MAY 14, 2024

It uses natural language processing to identify and organize discussion points, decisions, and future tasks. It lets users analyze text to detect patterns, extract meaningful information, and even redact sensitive data (automatically).   Fireflies.ai However, its services expand far beyond transcription.

Natural Language Processing 147

Natural Language Processing Automation Robotics Categorization 147

Marktechpost

SEPTEMBER 25, 2023

Large Language Models (LLMs) have made significant progress in text creation tasks, among other natural language processing tasks. Prior attempts to evaluate LLMs on structured data concentrated on simple Information Extraction (IE) tasks, such as extracting relations, recognizing events, and identifying named entities.

Large Language Models 126

Large Language Models LLM Natural Language Processing Categorization 126

Marktechpost

DECEMBER 18, 2023

The attention mechanism has played a significant role in natural language processing and large language models. In the case of transformers, the categories are relevant and irrelevant information within the text. This study explains the underlying process of information retrieval within the attention mechanism.

Natural Language Processing 103

Natural Language Processing Large Language Models Chatbots Explainability 103

Marktechpost

JULY 7, 2024

The rise of the Internet has flooded with information, making search engines more important than ever for navigating this vast online world. Significant progress has been made in natural language processing (NLP) and information retrieval (IR) technologies.

Natural Language Processing 114

Natural Language Processing Large Language Models Categorization LLM 114