Factory > Showcase > sent2vec
Name:
sent2vec
Description:
Numerical representations for short texts
Professor — Lab:
Martin Jaggi — Machine Learning and Optimization Laboratory
Contact:
Matteo Pagliardini
Technical description:
Library that delivers numerical representations (features) for words, short texts or sentences, which can be used as input to any machine learning task later on.
Project status:
inactive — entered showcase: 2019-03-18 — entry updated: 2024-04-09
Source code:
Lab GitHub - last commit: 2022-08-03
Code quality:
Prototype
Project type:
Library
Programming language:
C++
License:
BSD-3-Clause