ArchiveTextMiner

Unlock insights from archives with ArchiveTextMiner. Search, analyze and extract text data.

ArchiveTextMiner

ArchiveTextMiner is a Python package designed to supercharge your archive management. Harness the power of text mining, natural language processing (NLP), and machine learning to unlock hidden insights within your archives.

Features

• Improve Searchability: Locate and retrieve valuable information from your textual archives.
• Information Extraction: Automatically extract key insights, entities, and relationships from documents.
• Content Classification: Organize and categorize archived content for improved accessibility and organization.

Getting Started (in development)

1. Install ArchiveTextMiner: pip install ArchiveTextMiner
2. Check out our documentation for detailed usage instructions.
3. Start harnessing the power of your archives today!

Code is still in development

import ArchiveTextMiner

# Load your archive data
archive = ArchiveTextMiner.load_archive('archive.txt')

# Search for relevant information
results = archive.search('keyword')

# Extract entities from documents
entities = archive.extract_entities('document.txt')

# Classify and organize content
archive.classify_content()