comsysto / spring-data-neo4j-showcase
Showcase for our blog entry about Spring Data Neo4j.
☆31Updated 11 years ago
Related projects ⓘ
Alternatives and complementary repositories for spring-data-neo4j-showcase
- LDA 的java实现☆62Updated 8 years ago
- 通过web服务器对word分词的资源进行集中统一管理☆17Updated 7 years ago
- 本项目转移到https://github.com/cocolian/cocolian-nlp☆34Updated 10 years ago
- Quickly create example test-cases to reproduce your issues for reporting for Spring-Data-Neo4j in JIRA https://jira.spring.io/browse/DATA…☆10Updated 5 years ago
- Document preprocessing for preparing formatted input data which is suitable for LibSVM tool.☆50Updated 7 years ago
- jstorm开发demo,小例子☆23Updated 9 years ago
- 基于词典的负面舆情信息评分算法。☆25Updated 9 years ago
- Spring Data Neo4j 3 Cineasts Tutorial Example☆12Updated 9 years ago
- word2vec的Java并行实现☆126Updated 8 years ago
- Tree-split 搬新家..给各位带来的不便深表歉意☆57Updated 8 years ago
- 推荐算法☆29Updated 9 years ago
- A micro-blogging web application powered by Neo4j☆25Updated 10 years ago
- A fast dbscan algorithm based on Kd-tree nearest neighbor search☆14Updated 9 years ago
- Refactored version for https://github.com/shirdrn/document-processor.git☆15Updated 7 years ago
- 文本去重算法,研究自推荐系统中新闻的去重,采用了雅虎的Near-duplicates and shingling算法,服务端用c实现,客户端用java实现,利用thrift框架进行通信,为了提高扩展性,去重可以在服务端实现,服务器也提供了计算的接口,方便客户端自己扩展☆22Updated 10 years ago
- 新浪微博模拟登陆2014-04-01版☆22Updated 10 years ago
- HanLP 测试☆16Updated 7 years ago
- 常见数据挖掘和机器学习算法☆33Updated 11 years ago
- An efficient algorithm for text similarity computation☆60Updated 3 years ago
- 语义、情感、相似度分析。☆57Updated 9 years ago
- a simple implementation of textrank algorithm for nlp keywords extraction☆28Updated 7 years ago
- This is a sample project which helps to demostrate how to use Spring Data Neo4J☆9Updated 8 years ago
- 基于Map/Reduce爬虫,可抽取各大新闻网站的新闻正文并进行分类和聚类☆76Updated 10 years ago
- Neo4j Movies Demo App in java with spring-boot-jdbc☆27Updated 8 years ago
- 这是Word2vec和Doc2vec的一个应用示例:用Word2vec计算词的相似度和用doc2vec计算句子的相似度。☆26Updated 7 years ago
- 搜狐实习自动回复项目:语音识别、问题过滤、答案推荐☆8Updated 10 years ago