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