Doc2 Vec

GPTKB entity

Statements (60)
Predicate Object
gptkbp:instance_of gptkb:Artificial_Intelligence
gptkbp:bfsLayer 4
gptkbp:bfsParent gptkb:Gensim
gptkbp:applies_to unsupervised learning
sentiment analysis
gptkbp:based_on gptkb:Word2_Vec
gptkbp:benefits gptkb:academic_research
gptkb:film_production_company
data representation
information extraction
question answering
data mining
entity recognition
semantic search
feature extraction
text generation
language modeling
customer feedback analysis
text summarization
social media analysis
content recommendation
user profiling
text analytics
document clustering
knowledge graph construction
gptkbp:can_be_used_with other embedding techniques
gptkbp:developed_by Tomas Mikolov
gptkbp:enables semantic similarity measurement
https://www.w3.org/2000/01/rdf-schema#label Doc2 Vec
gptkbp:improves text classification
gptkbp:input_output fixed-size vectors
gptkbp:is_adopted_by gptkb:film_production_company
gptkbp:is_compared_to gptkb:software
TF-IDF
gptkbp:is_evaluated_by cosine similarity
extrinsic evaluation
intrinsic evaluation
downstream tasks
gptkbp:is_implemented_in gptkb:Gensim
gptkb:Library
gptkbp:is_influenced_by gptkb:microprocessor
gptkbp:is_part_of gptkb:software_framework
NLP toolkit
gptkbp:is_popular_in text mining
gptkbp:is_related_to deep learning
gptkbp:is_similar_to Paragraph Vector
gptkbp:is_used_by gptkb:physicist
gptkbp:is_used_for natural language processing
topic modeling
gptkbp:is_used_in search engines
chatbots
information retrieval
recommendation systems
gptkbp:provides vector representations of documents
gptkbp:release_year gptkb:2014
gptkbp:represents variable-length documents
gptkbp:requires large datasets
gptkbp:training unlabeled data
skip-gram model
CBOW model