Remove Categorization Remove Data Extraction Remove ML Remove Natural Language Processing
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An Overview of the Top Text Annotation Tools For Natural Language Processing

John Snow Labs

Likewise, almost 80% of AI/ML projects stall at some stage before deployment. Developing a machine learning model requires a big amount of training data. Therefore, the data needs to be properly labeled/categorized for a particular use case. Also, ML and AI models need voluminous amounts of labeled data to learn from.

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Unstructured data management and governance using AWS AI/ML and analytics services

Flipboard

After decades of digitizing everything in your enterprise, you may have an enormous amount of data, but with dormant value. However, with the help of AI and machine learning (ML), new software tools are now available to unearth the value of unstructured data. The solution integrates data in three tiers.

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Building Knowledge Graphs With ML: A Technical Guide

Viso.ai

Normalization : Standardizing text by converting it to a uniform case, removing accents, and resolving abbreviations can reduce the complexity of ML and AI models. Entity Typing (ET): Categorizes entities into more fine-grained types (e.g., The post Building Knowledge Graphs With ML: A Technical Guide appeared first on viso.ai.

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Leveraging user-generated social media content with text-mining examples

IBM Journey to AI blog

One of the best ways to take advantage of social media data is to implement text-mining programs that streamline the process. Text representation In this stage, you’ll assign the data numerical values so it can be processed by machine learning (ML) algorithms, which will create a predictive model from the training inputs.

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Top AI Tools for Accounting 2023

Marktechpost

Booke AI Booke AI is an AI-powered automation tool designed to streamline accounting processes for busy professionals. Features include real-time OCR data extraction from invoices, bills, and receipts, automatic transaction categorization, and AI-assisted reconciliation.

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Information extraction with LLMs using Amazon SageMaker JumpStart

AWS Machine Learning Blog

SageMaker JumpStart is a machine learning (ML) hub with foundation models (FMs), built-in algorithms, and prebuilt ML solutions that you can deploy with just a few clicks. Prompt engineering relies on large pretrained language models that have been trained on massive amounts of text data. .*"

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Top Artificial Intelligence Companies To Work With In 2023

Dlabs.ai

They’re the perfect fit for: Image, video, text, data & lidar annotation Audio transcription Sentiment analysis Content moderation Product categorization Image segmentation iMerit also specializes in extraction and enrichment for Computer Vision , NLP , data labeling, and other technologies. Clutch rating: 4.9/5