Maginaaa / SecuritiesKnowlegeGraphLinks
证券系统的简单知识图谱
☆26Updated 6 years ago
Alternatives and similar repositories for SecuritiesKnowlegeGraph
Users that are interested in SecuritiesKnowlegeGraph are comparing it to the libraries listed below
Sorting:
- 基于知识图谱的金融资讯推荐☆50Updated 6 years ago
- 金融知识图谱构建☆139Updated 6 years ago
- 知识图谱-金融知识图谱☆27Updated 5 years ago
- 个人实现的基于django,d3js与echarts的领域知识图谱检索与计量平台.面向语言政策领,包括语言政策领域的知识检索,关系检索与钻取,计量分析,知识可视化.☆26Updated 7 years ago
- base on chinese stock market data☆133Updated 3 years ago
- A tutorial and implement of Financial knowledge graph and qa system based on it。知识图谱构建,自动问答,基于kg的自动问答。以A股为中心的一定规模金融领域知识图谱,并以该知识图谱完成自动问答与分…☆142Updated 6 years ago
- 金融文本中的原因事件☆26Updated 5 years ago
- 金融财经类新闻文本主题事件提取☆53Updated 2 years ago
- 基于20W金融资讯训练得到的词向量☆25Updated 7 years ago
- Self complemented Key infomation extraction including keywords, abstract from text using algorithm like textrank ,tfidf 基于Textrank算法的文本摘要…☆54Updated 7 years ago
- 基于知识图谱的问答系统☆72Updated 6 years ago
- 基于依存句法的句子级细粒度情感计算☆27Updated 8 years ago
- 命名实体消歧的实现☆41Updated 6 years ago
- ccks2020基于本体的金融知识图谱自动化构建技术评测第 五名方法总结☆51Updated 2 years ago
- 金融领域实体识别☆7Updated 5 years ago
- 财经新闻情感分类数据集☆69Updated 6 years ago
- 使用scik-learn 实现k-means,KNN,SVM,贝叶斯,topic_extraction等算法,同时评估分类的准确率,召回率和F值。语料库是中文文本☆43Updated 7 years ago
- Syntax and Ruler-Based Doc sentiment analysis 基于依存句法规则的篇章级情感分析demo☆107Updated 6 years ago
- 博客文章开源代码分享区☆125Updated 4 years ago
- 知识融合标注工具☆15Updated 6 years ago
- Event monitor based on online news corpus including event storyline and analysis,基于给定事件关键词,采集事件资讯,对事件进行挖掘和分析。☆152Updated 6 years ago
- ourvision 人工智能教育领域的知识图谱构建☆61Updated 3 years ago
- 文本热点挖掘,基于DBSCAN聚类模型,对文本的热点事件进行挖掘☆43Updated 5 years ago
- 练习题︱基于今日头条开源数据的文本挖掘☆84Updated 6 years ago
- 毕业设计,基于事理图谱的事件推理系统☆70Updated 5 years ago
- NLP 以及相关的学习实践☆40Updated 3 years ago
- 【梳理】FDDC2018金融算法挑战赛02-A股上市公司公告信息抽取☆93Updated 6 years ago
- Self complemented text feature extraction using algorithms including CHI, DF, IG, MI for the experiment of text classification based on s…☆49Updated 7 years ago
- 根据自己搭的 LTP 服务器,实现:分词、词性标注、命名实体识别、依存句法分析、语义角色标、命名实体的抽取:人名,地名,机构名、三元组的抽取:主谓宾,动宾关系,介宾关系,(实体1,关系,实体2)☆144Updated 7 years ago
- ☆20Updated 6 years ago