TilakD/Semantic-similarity-extraction-using-word-vectors-in-Mahabharata-dataset

Semantic similarity extraction using word vectors in Mahabharata dataset

29
/ 100
Experimental

This tool helps researchers and enthusiasts explore relationships within lengthy Sanskrit texts like the Mahabharata. You provide the digitized text of the epic, and it uncovers semantic similarities between characters and concepts, helping you understand complex narratives and lineage connections. It's designed for anyone studying ancient Indian literature, mythology, or historical texts who wants to quickly grasp character relationships and underlying themes.

No commits in the last 6 months.

Use this if you need to extract and understand the subtle relationships and connections between characters or ideas within a very large, complex text like an epic poem.

Not ideal if you're working with short texts, modern language, or require a general-purpose text summarization or translation tool.

Sanskrit literature epic narrative analysis mythology research textual studies ancient Indian history
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 16 / 25

How are scores calculated?

Stars

10

Forks

6

Language

Jupyter Notebook

License

Last pushed

Sep 06, 2017

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/TilakD/Semantic-similarity-extraction-using-word-vectors-in-Mahabharata-dataset"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.