Doc2vec Api Save

document embedding and machine learning script for beginners

Project README


The repository contains some corpus(Korean), python scripts for training and inferring test document vectors using doc2vec.

Demo Site

Raw Corpus

PreTrained Doc2vec Model

Korean word2vec-api / doc2vec-api

Simple web service providing a word embedding API. The methods are based on Gensim Word2Vec / Doc2Vec implementation. Models are passed as parameters and must be in the Word2Vec / Doc2Vec text or binary format. This web2vec-api script is forked from this word2vec-api github and get minor update to support Korean word2vec models.

  • Install Dependencies
pip2 install -r requirements.txt
  • Launching the service
python word2vec-api --model path/to/the/model [--host host --port 1234]
ex) python /home/ --model /home/model/all_terms_50vectors --path /word2vec --host --port 4000

python doc2vec-api --model path/to/the/model [--host host --port 1234]
ex) python /home/ --model /home/model/all_terms_50vectors --path /doc2vec --host --port 4000

  • Example calls
Open Source Agenda is not affiliated with "Doc2vec Api" Project. README Source: roboreport/doc2vec-api