Unite.AI

FEBRUARY 19, 2024

To elucidate the aforementioned conundrum, this article aims to analyze the current state-of-art of RPA and examine the converging impact of Artificial Intelligence (AI) and Machine Learning (ML) technologies. Machine learning-based anomaly detection and RPA-enhanced fraud detection systems have proven effective.

Neural Network 182

Neural Network Natural Language Processing Automation Robotics 182

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

DataRobot Blog

MARCH 9, 2022

The Amazon Product Reviews Dataset provides over 142 million Amazon product reviews with their associated metadata, allowing machine learning practitioners to train sentiment models using product ratings as a proxy for the sentiment label. It could be anything from a sentence to a paragraph to a longer-form collection of text.

Machine Learning 52

Machine Learning Neural Network Convolutional Neural Networks Deep Learning 52

Marktechpost

JULY 17, 2023

Predictive analytics is a standard tool that we utilize without much thought. Predictive analytics uses methods from data mining, statistics, machine learning, mathematical modeling, and artificial intelligence to make future predictions about unknowable events. It creates forecasts using historical data.

Machine Learning 98

Machine Learning Data Mining Data Scientist Data Science 98

Marktechpost

APRIL 14, 2024

AI Integration: Includes AI tools such as text analytics and image recognition and integration with Azure Machine Learning. Cost-Effective: Generally more affordable, especially for small to medium-sized enterprises or startups. Power BI Service: A cloud-based service that facilitates user sharing and collaboration.

Business Intelligence 103

Business Intelligence Text Analytics AI AI 103

Bitext

SEPTEMBER 17, 2021

In previous posts, we have outlined the crucial role of Machine Learning for Analytics (in How to Make Machine Learning more Effective using Linguistic Analysis? ) , and the implications of using Machine Learning for analyzing and structuring text (in How Phrase Structure helps Machine Learning ? ).

Machine Learning 52

Machine Learning Text Analytics Big Data Chatbots 52

Lexalytics

SEPTEMBER 9, 2021

For nearly two decades, Lexalytics has been a pioneer in structured and unstructured data analytics, translating text into profitable decisions with our natural language processing (NLP), machine learning (ML), and artificial intelligence (AI) solutions for the world’s most customer-centric brands.

Natural Language Processing 52

Natural Language Processing Machine Learning Text Analytics NLP 52

ODSC - Open Data Science

MAY 9, 2024

Designed for robust text analytics and generation, DBRX excels in information retrieval, text summarization, machine translation, conversational AI, and content creation. Whether you’re managing data pipelines or deploying machine learning models, Thunder makes the process smooth and efficient.

AI Tools 52

AI Tools Large Language Models Machine Learning Data Science 52

NLP People

APRIL 10, 2019

While ETH does not have a Linguistics department, its Data Analytics Lab , lead by Thomas Hofmann , focuses on topics in machine learning, natural language processing and understanding, data mining and information retrieval. Research foci include Big Data technology, data mining, machine learning, information retrieval and NLP.

NLP 52

NLP Computational Linguistics Natural Language Processing Data Mining 52

NLP People

MAY 18, 2018

DFKI LT lab conducts advanced research in language technology and develops novel solutions related to information and knowledge management, content production, speech and text processing. Key areas of their activity include text analytics, machine translation, human-robot interaction , and digital content creation.

NLP 52

NLP Computational Linguistics Data Mining Natural Language Processing 52

ODSC - Open Data Science

FEBRUARY 17, 2023

How Text Analytics and AI Can Help Investigators Combat Human Trafficking Assessing large quantities of narrative data for patterns using manual analysis alone can be time-consuming and produces limited qualitative results. This is especially true when, as is often the case, the presentation is for a largely nontechnical audience.

ML 52

ML ChatGPT Data Science Machine Learning 52

Towards AI

JULY 19, 2023

Cloud Computing, Natural Language Processing Azure Cognitive Services Text Analytics is a great tool you can use to quickly evaluate a text data set for positive or negative sentiment. What is Azure Cognitive Services Text Analytics?

Text Analytics 40

Text Analytics Natural Language Processing Algorithm Artificial Intelligence 40

Pickl AI

AUGUST 1, 2023

In this article, we will explore the concept of applied text mining in Python and how to do text mining in Python. Introduction to Applied Text Mining in Python Before going ahead, it is important to understand, What is Text Mining in Python?

Data Analysis 52

Data Analysis Python Categorization Data Mining 52

AWS Machine Learning Blog

DECEMBER 13, 2024

Amazon SageMaker Pipelines includes features that allow you to streamline and automate machine learning (ML) workflows. In this role, he was responsible for scaling cognitive analytics for sales strategy, leveraging advanced AI/ML technologies to drive insights and optimize business outcomes. and PhD from UCLA in Biostatistics.

ML 80

ML Algorithm Automation Python 80

LevelAI

FEBRUARY 5, 2024

Text Analytics: Spotting occurrences of words This approach matches pre-defined keywords or sequences of words to text excerpts within call transcripts. A text analytics solution would be able to match the name of the company to verify if the agent has said, “Hello, this is Level AI customer service.

Automation 52

Automation Text Analytics Natural Language Processing Generative AI 52

LevelAI

FEBRUARY 5, 2024

Organizations can delve deeper by utilizing sophisticated text analytics tools, identifying recurring themes, trends, and even specific language patterns within interactions. Many issues go unnoticed and unfixed. Quantifying the Qualitative: Customer service data extends beyond mere sentiment analysis.

Text Analytics 52

Text Analytics Natural Language Processing Generative AI Machine Learning 52

ODSC - Open Data Science

SEPTEMBER 19, 2024

Streamlining Government Regulatory Responses with Natural Language Processing, GenAI, and Text Analytics Through text analytics, linguistic rules are used to identify and refine how each unique statement aligns with a different aspect of the regulation.

Prompt Engineering 40

Prompt Engineering Prompt Engineer AI Automation Automation 40

ODSC - Open Data Science

OCTOBER 23, 2023

In the world of artificial intelligence and machine learning, this evolution has been nothing short of remarkable. Traditionally, our NLP track has focused on the usual aspects of NLP, such as text analytics and sentiment analysis. This is especially true of the last 12 months.

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering Data Science 52

Pickl AI

JULY 23, 2023

Examples of unstructured data include text files, images, audio, and video content. While unstructured data may seem chaotic, advancements in artificial intelligence and machine learning enable us to extract valuable insights from this data type. This step is crucial for eliminating inconsistencies and ensuring data integrity.

Data Analysis 52

Data Analysis Explainability Algorithm Machine Learning 52

Pickl AI

JULY 20, 2023

Predictive Analytics Projects: Predictive analytics involves using historical data to predict future events or outcomes. Techniques like regression analysis, time series forecasting, and machine learning algorithms are used to predict customer behavior, sales trends, equipment failure, and more.

Big Data 40

Big Data Natural Language Processing Machine Learning Python 40

Flipboard

JULY 10, 2023

Unstructured text and data are like gold for business applications and the company bottom line, but where to start? Here are three tools worth a look.

Data Extraction 137

Data Extraction NLP Natural Language Processing Text Analytics 137

Flipboard

JANUARY 22, 2025

This paper presents a study on the integration of domain-specific knowledge in prompt engineering to enhance the performance of large language models (LLMs) in scientific domains. The proposed domain-knowledge embedded prompt engineering method.

Prompt Engineering 122

Prompt Engineering Prompt Engineer Large Language Models Natural Language Processing 122

Lexalytics

APRIL 5, 2021

Fast-forward a couple of decades: I was (and still am) working at Lexalytics, a text-analytics company that has a comprehensive NLP stack developed over many years. The engineering team also started a weekly reading group, studying recent machine learning papers so we could come up to speed and remain current on the start of the art.

Neural Network 52

Neural Network Convolutional Neural Networks Natural Language Processing BERT 52

Flipboard

MARCH 28, 2023

Generated by the new Modelscope text-to-video, an algorithmically-generated Will Smith shovels down a bizarro pasta meal. In recent months, advancements in AI-generated media are everywhere: generated “photos” of historical events that never happened, voices that mimic humans closely enough to break …

Algorithm 123

Algorithm AI AI Text Analytics 123

Flipboard

MARCH 26, 2023

Runway, an artificial intelligence (AI) platform, has recently released its latest software, Gen-2, which can create full videos from text …

Artificial Intelligence 123

Artificial Intelligence Artificial Intelligence Text Analytics AI 123

Flipboard

MARCH 22, 2023

Using these basics of prompt engineering, you can get the most out of generative AI.

Generative AI 123

Generative AI Prompt Engineering Prompt Engineer ChatGPT 123

Mlearning.ai

FEBRUARY 27, 2023

Thus, this class is supposed to handle all pre-processing to transform data from the raw form to the precise form a machine learning algorithm expects. Here, we are using Scikit-learn’s linear_model.LogisticRegression class, which expects the X and Y inputs as array-like to the training method (fit).

Data Science 52

Data Science Python Deep Learning Text Analytics 52

Flipboard

JANUARY 4, 2025

This study proposes a novel text classification model, MBConv-CapsNet, to address large-scale text data classification issues in the Internet era.

Text Analytics 65

Text Analytics Machine Learning 65

Flipboard

MARCH 10, 2023

Text classification is the process of automatically categorizing text into predefined categories. This is an important task in natural language …

Categorization 65

Categorization Python Text Analytics Machine Learning 65

Flipboard

MARCH 10, 2023

As many of my readers know, not only do I come from an engineering and technical background, but I am also a…

Prompt Engineering 65

Prompt Engineering Prompt Engineer Natural Language Processing Text Analytics 65

Unite.AI

NOVEMBER 6, 2024

Pienso was initially conceived during your time at MIT, how did the concept of training machine learning models to be accessible to non-technical users originate? As the demand for high-volume text analytics grows, we'll enhance our ability to handle larger datasets with faster inference times and more complex analysis.

Large Language Models 162

Large Language Models Deep Learning Machine Learning Algorithm 162