sanalyse-dhpy 0.1.0

A simple, accessible python toolkit for digital humanities scholars for basic and advanced text analysis, exploration, processing, parsing

sanalyse

sanalyse is an open-source, unified Python toolkit for Digital Humanities. It provides a simple, consistent API to perform core text‐analysis tasks across English, Hindi, and Urdu. Designed to evolve incrementally, the library currently offers a suite of basic functionalities, with a rich roadmap of advanced techniques slated for upcoming releases.

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🚀 Features (v0.x)

Core Text‐Processing

• Normalization: Unicode normalization, lowercasing, diacritic removal.
• Tokenization: Language‐aware tokenizers for English, Hindi, and Urdu.
• Stopword Removal: Built-in stopword lists for all three languages.
• Stemming & Lemmatization:
  • English: Porter & Snowball stemmers.
  • Hindi/Urdu: Rule‐based light stemmer.

Exploratory Analysis

• Frequency Analysis: Compute word and n-gram frequencies.
• Concordance: KWIC (Key Word in Context) display.
• Collocations: Identify bigrams and trigrams with PMI scoring.
• Basic Readability: Flesch–Kincaid for English; placeholder metrics for Hindi/Urdu.

Utilities

• Language Detection: Fast heuristic language tagger.
• Text I/O: Read/write plain text, UTF-8 encoded; support for CSV/TSV corpora.
• Batch Processing: Apply any analyzer over a directory of text files.

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🔭 Upcoming Roadmap

Advanced features are under active development and will land incrementally in upcoming 1.x and 2.x releases.

• Named Entity Recognition: Pretrained models for people, places, organizations.

• Network & Graph Analysis: Build and analyze co‐occurrence and social networks.

• Topic Modeling: LDA, NMF, hLDA with cross‐lingual support.

• Stylometry & Authorship Attribution: Feature extraction + modeling tools.

• Sentiment & Emotion Analysis: Transformer‐based sentiment classifiers for all supported languages.

• Stylometry & Authorship Attribution: Feature extraction + modeling tools.

• OCR & Image‐to‐Text: Integrate Tesseract pipelines.

• Geospatial Analysis: Map place‐name occurrences; generate time‐space visualizations.

• Deep Learning & Embeddings: Multilingual BERT embeddings, topic‐aware embeddings.

• Translation & Transliteration: Bidirectional transliteration between Devanagari, Perso‐Arabic scripts and Roman.

• Web Based Interface to Access tools Streamlit based tool to do plug and play interface

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📦 Installation

pip install sanalyse