Pinned Repositories
elasticsearch
Open Source, Distributed, RESTful Search Engine
elasticsearch-definitive-guide
The Definitive Guide to Elasticsearch
felix-academic-project
Automatically exported from code.google.com/p/felix-academic-project
Labrador
a sina-weibo-notifier based on https://github.com/followyourheart/sina-weibo-crawler
pyes
Python connector for ElasticSearch - the pythonic way to use ElasticSearch
sinaspider
新浪微博爬虫
tf-idf
Term frequency - inverse document frequency example in Python
TFIDF
(term frequency inverse document frequency) is a numerical statistic that reflects how important a word is to a document in a collection or corpus.It is often used as a weighting factor in information retrieval and text mining. The tf-idf value increases proportionally to the number of times a word appears in the document, but is offset by the frequency of the word in the corpus, which helps to control for the fact that some words are generally more common than others.
buyiburao's Repositories
buyiburao/felix-academic-project
Automatically exported from code.google.com/p/felix-academic-project
buyiburao/elasticsearch
Open Source, Distributed, RESTful Search Engine
buyiburao/elasticsearch-definitive-guide
The Definitive Guide to Elasticsearch
buyiburao/Labrador
a sina-weibo-notifier based on https://github.com/followyourheart/sina-weibo-crawler
buyiburao/pyes
Python connector for ElasticSearch - the pythonic way to use ElasticSearch
buyiburao/sinaspider
新浪微博爬虫
buyiburao/tf-idf
Term frequency - inverse document frequency example in Python
buyiburao/TFIDF
(term frequency inverse document frequency) is a numerical statistic that reflects how important a word is to a document in a collection or corpus.It is often used as a weighting factor in information retrieval and text mining. The tf-idf value increases proportionally to the number of times a word appears in the document, but is offset by the frequency of the word in the corpus, which helps to control for the fact that some words are generally more common than others.