基于标题分类的主题句提取方法可描述为: 给定一篇新闻报道, 计算标题与新闻主题词集的相似度, 判断标题是否具有提示性。对于提示性标题,抽取新闻报道中与其最相似的句子作为主题句; 否则, 综合利用多种特征计算新闻报道中句子的重要性, 将得分最高的句子作为主题句。
☆40Jul 26, 2016Updated 9 years ago
Alternatives and similar repositories for ExtractTopicSentence
Users that are interested in ExtractTopicSentence are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 常用文本聚类算法java实现☆15Feb 3, 2015Updated 11 years ago
- ☆12Mar 1, 2019Updated 7 years ago
- 对不同模板的静态网页，识别并提取正文、标题、时间等元素☆15Dec 28, 2016Updated 9 years ago
- CCF大数据竞赛--垃圾短信基于文本内容的识别☆11Mar 13, 2016Updated 10 years ago
- 推荐系统相关代码☆23Apr 25, 2015Updated 11 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- 关系抽取实验☆32May 29, 2016Updated 10 years ago
- "see data", data manipulation snippets☆18Dec 10, 2020Updated 5 years ago
- ☆16Jun 20, 2017Updated 9 years ago
- mltk web edition☆42Apr 5, 2016Updated 10 years ago
- 将word2vec训练生成的词向量和BERT生成的词向量进行可视化对比☆15Jun 29, 2020Updated 6 years ago
- kmeans algorithm for GPU, with and without triangle inequality☆13Apr 6, 2010Updated 16 years ago
- Spark Mllib 1.6.0版本算法封装☆11Mar 8, 2017Updated 9 years ago
- createing Chinese Ngo Knowledge Graph is my graduation project, develop language is python, web-frame is django, database is grahp databa…☆26Oct 3, 2022Updated 3 years ago
- Latent Dirichlet Allocation with Gibbs sampling☆16Dec 18, 2013Updated 12 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Robust and Memory Efficient Event Detection and Tracking in Large News Feeds☆13Oct 15, 2021Updated 4 years ago
- Implement node2vec algorithm using Spark 2 from: http://snap.stanford.edu/node2vec/☆10Jul 10, 2019Updated 7 years ago
- 中文地址解析☆20Mar 30, 2017Updated 9 years ago
- office在线编辑☆10May 24, 2019Updated 7 years ago
- 使用LDA/Apriori/k-means/word2vec模型对节目弹幕短文本进行文本挖掘，输出相应统计结果/图片☆21Jun 2, 2017Updated 9 years ago
- 此文本分类项目主要面向机器学习初学者和文本分类效果测试者，项目内部含有朴素贝叶斯，余弦定理，逻辑回归多种分类算法以及mm，rmm分词器，同时从某新闻站点爬取了多个分类共6000多篇文章，以及一个中文词典。项目方便自由拓展各种分类器和分词器，并通过组装测试分类效果。☆37Sep 29, 2017Updated 8 years ago
- 新闻推荐系统☆10Aug 14, 2019Updated 6 years ago
- 使用RAKE提取关键词☆35Jul 23, 2017Updated 8 years ago
- 用户评论标签挖掘☆73May 1, 2017Updated 9 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- An efficient algorithm for text similarity computation☆61Apr 26, 2021Updated 5 years ago
- the example of doc2vec to calculate the similarity of docs☆34Sep 7, 2016Updated 9 years ago
- 实时分析nginx日志，计算接口访问次数，uv，时延，异常IP等指标☆28Apr 14, 2017Updated 9 years ago
- 基于新浪微博的面向食品安全的舆情话题检测与追踪系统☆13Jul 6, 2022Updated 4 years ago
- 语义、情感、相似度分析。☆60Jul 23, 2015Updated 10 years ago
- 基于简单表格的问答系统☆13May 18, 2020Updated 6 years ago
- TextRCNN 文本分类☆17Feb 21, 2023Updated 3 years ago
- 以中国新闻网社会新闻板块为抓取对象,通过关键词来分析新闻热点事件☆19Mar 8, 2020Updated 6 years ago
- 最好用的滚动到顶部chrome插件☆14Aug 28, 2019Updated 6 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- A neural text process python lib for context-based feature extraction on Seq-Tagging data.☆10Jul 27, 2018Updated 7 years ago
- 一个api， 提供在线实时查询 被执行人/失信被执行人查询结果☆12Dec 29, 2018Updated 7 years ago
- 2019 Language and Intelligence Challenge, Information Extraction☆29Jun 27, 2019Updated 7 years ago
- 物联网云监控平台☆22Jul 18, 2023Updated 3 years ago
- Quora Duplicated Question Challenge (Kaggle Competition)☆10Jun 19, 2017Updated 9 years ago
- Source code for SEKE 2020 paper "SLK-NER: Exploiting Second-order Lexicon Knowledge for Chinese NER"☆16Jun 19, 2021Updated 5 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☆24Feb 25, 2014Updated 12 years ago