iarroyof/sentence_embedding

A sentence embedding method based on weighted series

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/ 100
Emerging

This project helps data scientists, machine learning engineers, and NLP practitioners easily convert raw text sentences into numerical representations, known as sentence embeddings. You input a list of sentences, and it outputs a matrix of numerical vectors that capture the meaning of each sentence. These embeddings can then be used for tasks like finding similar sentences or categorizing text.

Use this if you need a lightweight, open-source method for generating sentence embeddings that doesn't require pre-existing language resources or complex training, and you want to use popular word embeddings like FastText or GloVe with TF-IDF weighting.

Not ideal if you need state-of-the-art performance on highly nuanced semantic tasks or require embeddings specifically fine-tuned on a very niche domain, which might be better served by large transformer models.

Natural Language Processing Text Analytics Information Retrieval Text Classification Semantic Search
No Package No Dependents
Maintenance 13 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 8 / 25

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Stars

9

Forks

1

Language

Python

License

Apache-2.0

Last pushed

Mar 18, 2026

Commits (30d)

0

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