References

The Anatomy of a Large-Scale Hypertextual Web Search Engine

http://infolab.stanford.edu/~backrub/google.html

백엔드 구축 개요

https://velog.io/@city7310/%EB%B0%B1%EC%97%94%EB%93%9C%EA%B0%80-

%EC%9D%B4%EC%A0%95%EB%8F%84%EB%8A%94-%ED%95%B4%EC%A4%98%EC%95%BC-%ED%95%A8-1.-%EC%BB%A8%ED%85%90%EC%B8%A0%EC%9D%98-%EB%8F%99%EA%B8%B0%EC%99%80-%EA%B0%9C%EC%9A%94

MongDB, MySQL의 CRUD 연산 성능 비교

https://www.slideshare.net/WooYeongChoe1/slidshare-mongodbmysqlcrud?ref=https://cdn.iframe.ly/

딥 러닝을 이용한 자연어 처리 입문

https://wikidocs.net/book/2155

Topic Modeling, LDA

https://ratsgo.github.io/from%20frequency%20to%20semantics/2017/06/01/LDA/

LDA paramter 튜닝

https://coredottoday.github.io/archive/?tag=LDA

Similarity measure of textual documents

https://www.kernix.com/blog/similarity-measure-of-textual-documents_p12

Tensorflow Embedding Projector

https://projector.tensorflow.org/

package for web-based interactive topic model visualization

https://github.com/cpsievert/LDAvis

Google Search Algorithm – PageRank

https://en.wikipedia.org/wiki/PageRank

Gensim – FastText Document

https://radimrehurek.com/gensim/models/fasttext.html

Library for efficient text classification and representation learning

https://fasttext.cc/

models.ldamodel – Latent Dirichlet Allocation

https://radimrehurek.com/gensim/models/ldamodel.html

Evaluation of Topic Modeling: Topic Coherence

https://datascienceplus.com/evaluation-of-topic-modeling-topic-coherence/

Evaluate Topic Models: Latent Dirichlet Allocation (LDA)

https://towardsdatascience.com/evaluate-topic-model-in-python-latent-dirichlet-allocationlda-7d57484bb5d0

LDA topic modeling parameter Tuning

https://www.machinelearningplus.com/nlp/topic-modeling-python-sklearn-examples/

Scikit Learn Document

https://scikit-learn.org/stable/documentation.html

Konlpy Document

https://konlpy-ko.readthedocs.io/ko/v0.5.1/

ETRI 형태소 태그셋 데이터

http://aiopen.etri.re.kr/guide_wiseNLU.php#group02

How to Split Sentence

https://tech.grammarly.com/blog/posts/How-to-Split-Sentences.html

한국어 형태소 분석기 성능비교

http://www.engear.net/wp/%ED%95%9C%EA%B8%80-%ED%9

8%95%ED%83%9C%EC%86%8C-%EB%B6%84%EC%84%9D%EA%B8%B0-%EB%B9%84%EA%B5%90/

Word2Vec Document

http://docs.h2o.ai/h2o/latest-stable/h2o-docs/data-science/word2vec.html