GlossAPI

A library for processing academic texts in Greek and other languages, developed by ΕΕΛΛΑΚ.

Features

• PDF Processing: Extract text content from academic PDFs with structure preservation
• Quality Control: Filter and cluster documents based on extraction quality
• Section Extraction: Identify and extract academic sections from documents
• Section Classification: Classify sections using machine learning models
• Greek Language Support: Specialized processing for Greek academic texts
• Metadata Handling: Process academic texts with accompanying metadata
• Customizable Annotation: Map section titles to standardized categories

Installation

pip install glossapi

Usage

The recommended way to use GlossAPI is through the Corpus class, which provides a complete pipeline for processing academic documents:

from glossapi import Corpus
import logging

# Configure logging (optional)
logging.basicConfig(level=logging.INFO)

# Initialize Corpus with input and output directories
corpus = Corpus(
    input_dir="/path/to/documents",
    output_dir="/path/to/output"
    # metadata_path="/path/to/metadata.parquet",  # Optional
    # annotation_mapping={
    #     'Κεφάλαιο': 'chapter', # i.e. a label in document_type column : references text type to be annotated chapter or text for now
    #     # Add more mappings as needed
    # }
)

# Step 1: Extract documents (with quality control)
corpus.extract()

# Step 2: Extract sections from filtered documents
corpus.section()

# Step 3: Classify and annotate sections
corpus.annotate()

License

This project is licensed under the European Union Public Licence 1.2 (EUPL 1.2).