fast-text-analyzer 0.1.0

Professional NLP toolkit: word count, summarization, keywords, readability

Fast Text Analyzer

A lightweight, fast, and production-ready Python text analysis toolkit with CLI support.

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Features

• Word & sentence statistics
• Automatic language detection
• Extractive summarization
• Keyword extraction
• Readability scoring (Flesch Reading Ease)
• Analyze text from files, URLs, or direct input
• Rich colored CLI output

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Installation

pip install fast-text-analyzer

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CLI Usage

Analyze Direct Text

fast-text-analyzer analyze "This is a simple example." --summary --lang --keywords

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Analyze File

fast-text-analyzer analyze sample.txt --file --summary --readability

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Analyze URL

fast-text-analyzer analyze https://example.com --url --summary --lang

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Python API Usage

from fast_text_analyzer import Analyzer

text = "Fast Text Analyzer is a professional Python module."
a = Analyzer(text)

print(a.word_count())
print(a.keywords())
print(a.summarize())

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Tech Stack

• Python 3.8+
• NLTK
• Click
• Rich
• LangDetect
• Requests

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License

MIT License

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Author

Redwan Ahmed Machine Learning Engineer | Researcher | Instructor | Software Engineer

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Commit

git add README.md
git commit -m "Add professional README"
git push