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

IBM Journey to AI blog

As it pertains to social media data, text mining algorithms (and by extension, text analysis) allow businesses to extract, analyze and interpret linguistic data from comments, posts, customer reviews and other text on social media platforms and leverage those data sources to improve products, services and processes.

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10 Datasets for Fine-Tuning Large Language Models

ODSC - Open Data Science

This pairing is invaluable as it demonstrates how unstructured data, often found in natural language texts, can be systematically broken down and translated into a structured format. The dataset covers a wide range of document types and topics, providing a broad spectrum of scenarios for logical data extraction and interpretation.

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What is ETL? Top ETL Tools

Marktechpost

The ETL process transforms structured or unstructured data from numerous sources into a simple format for your employees to understand and use regularly. Data extraction Data that has been extracted has been retrieved from one or more sources, both structured and unstructured.

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