blueprints-for-text-analytics-python/blueprints-text

Jupyter notebooks for our O'Reilly book "Blueprints for Text Analysis Using Python"

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This project provides practical, hands-on examples for anyone looking to extract insights and value from text data. It takes raw text from various sources, applies machine learning techniques, and outputs structured information like sentiment, topics, summaries, or classifications. This is designed for data scientists, analysts, and researchers who want to apply text analytics in their work.

270 stars. No commits in the last 6 months.

Use this if you are a data professional wanting to learn and implement various text analysis techniques, from data preparation to sentiment analysis and topic modeling.

Not ideal if you are looking for a ready-to-use application or a low-code/no-code solution, as this project provides code examples requiring some programming knowledge.

data science text analysis sentiment analysis topic modeling data extraction
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 25 / 25

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270

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148

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Jupyter Notebook

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Apache-2.0

Last pushed

Apr 12, 2024

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