ruimtehol
0.3.2Learn Text 'Embeddings' with 'Starspace'
Overview
Wraps the 'StarSpace' library https://github.com/facebookresearch/StarSpace allowing users to calculate word, sentence, article, document, webpage, link and entity 'embeddings'. By using the 'embeddings', you can perform text based multi-label classification, find similarities between texts and categories, do collaborative-filtering based recommendation as well as content-based recommendation, find out relations between entities, calculate graph 'embeddings' as well as perform semi-supervised learning and multi-task learning on plain text. The techniques are explained in detail in the paper: 'StarSpace: Embed All The Things!' by Wu et al. (2017), available at arXiv:1709.03856.
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- Examples that run
- 94%
- Documented parameters
- 96%
- Return-value docs
- 100%
- References docs
- 6%
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People & History
9 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- archivedRemoved from CRAN2025-07-10issues were not corrected in time
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 0.3.22024-02-22 · diff ↗
- RR 4.3.0 released · 2023-04-21
- 0.3.12023-01-06 · diff ↗
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 0.32020-11-29 · diff ↗
- 0.2.52020-10-10 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 0.2.32020-01-10 · diff ↗
- 0.2.12019-05-31 · diff ↗
- 0.22019-05-08 · diff ↗
- RR 3.6.0 released · 2019-04-26
Show 3 earlier events
- 0.1.22019-01-28 · diff ↗
- 0.1.12019-01-08
- RR 3.5.0 released · 2018-04-23
Package metadata
- Total releases
- 9
- License
- MPL-2.0 OSI
- Minimum R
- ≥ 2.10
- Bundled data
- 2.5 MB / 3 files
- Download size
- not tracked yet
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