Statements (53)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:language
|
| gptkbp:bfsLayer |
4
|
| gptkbp:bfsParent |
gptkb:Gensim
|
| gptkbp:application |
information retrieval
language identification text classification semantic similarity |
| gptkbp:community_support |
active community
|
| gptkbp:developed_by |
gptkb:Facebook_AI_Research
|
| gptkbp:features |
efficient memory usage
out-of-vocabulary handling fast training pre-trained vectors |
| https://www.w3.org/2000/01/rdf-schema#label |
Fast Text
|
| gptkbp:input_output |
gptkb:poet
binary text data embeddings sentence vectors text corpus word vectors |
| gptkbp:is_evaluated_by |
gptkb:municipality
F1 score accuracy precision |
| gptkbp:language |
gptkb:C++
gptkb:Library |
| gptkbp:license |
MIT License
|
| gptkbp:platform |
gptkb:smartphone
gptkb:operating_system |
| gptkbp:related_model |
supervised
unsupervised |
| gptkbp:related_to |
gptkb:software_framework
gptkb:NLP gptkb:Glo_Ve deep learning word2vec |
| gptkbp:release_date |
gptkb:2016
|
| gptkbp:repository |
gptkb:archive
|
| gptkbp:supports |
multiple languages
|
| gptkbp:training |
cbow
skip-gram |
| gptkbp:use_case |
gptkb:computer
search engines sentiment analysis topic modeling chatbots recommendation systems spam detection customer feedback analysis text summarization social media analysis |
| gptkbp:uses |
subword information
|