Alternatives and similar repositories for SparkStudy

Users that are interested in SparkStudy are comparing it to the libraries listed below

• shijing888 / CommentsMining
  用户评论标签挖掘
  ☆72Updated 8 years ago
• Pelhans / ZNLP
  Chinese NLP package
  ☆38Updated 6 years ago
• KG-book / EntityMining
  《实体数据挖掘与知识图谱构建》一书的代码和实验数据。
  ☆43Updated 9 years ago
• mattzheng / LangueOne
  练习题︱基于今日头条开源数据的文本挖掘
  ☆84Updated 6 years ago
• zzzvvvxxxd / KGPro
  知识图谱轻量框架
  ☆62Updated 9 years ago
• dozycat / CEQA
  知识图谱问答系统
  ☆87Updated 2 years ago
• SongRb / DeepDiveChineseApps
  DeepDive Tutorial with Chinese Support
  ☆35Updated 3 years ago
• NLPchina / ansj_parsing
  ansj_parsing 依存文法&句法分析
  ☆19Updated 8 years ago
• zle1992 / 2016-ccf-data-mining-competition
  text classfication 大数据精准营销中搜狗用户画像挖掘 rank61/880
  ☆62Updated 7 years ago
• buttered-cat / chinese_company_name_recognition
  中文命名实体识别（公司名称），Tensorflow 1.3 + Python3
  ☆38Updated 7 years ago
• macanv / MQNLP
  自然语言处理相关实验实现 some experiment of natural language processing, Like text classification, named entity recognition, pos-tags, segment, key …
  ☆54Updated 6 years ago
• mpk001 / Doc_Word2vecTest
  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 8 years ago
• 03pie / SMPCUP2017
  CSDN用户画像技术评测
  ☆27Updated 6 years ago
• yanleping / similarity
  语义相似度计算各种算法实现汇总
  ☆45Updated 7 years ago
• lihait / ExtractTopicSentence
  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。
  ☆40Updated 9 years ago
• luhm2017 / graphx-analysis
  graphx知识图谱、图计算相关
  ☆64Updated 7 years ago
• chaoming0625 / WaiMaiOpinionMiner
  细粒度情感分析repository1：Wai Mai Opinion Miner，细粒度情感分析系统GUI demo。
  ☆112Updated 9 years ago
• ZhuanZhiCode / TensorFlow-Java-Examples
  Examples of Invoking TensorFlow from Java
  ☆74Updated 7 years ago
• zhangziliang04 / OpendialEx
  Opendial对话语料库
  ☆50Updated 7 years ago
• yjfiejd / Sales_prediction
  Rossmann Store Sales: https://www.kaggle.com/c/rossmann-store-sales
  ☆10Updated 7 years ago
• Deermini / word2vec-tensorflow
  使用word2vec进行中文词向量的 训练
  ☆91Updated 7 years ago
• JiaLiangShen / Chinese-Article-Classification-based-on-own-corpus-via-TextCNN-and-GBDT
  中文文本分类，包含了语料库的基本处理，Wiki_zh的处理等
  ☆15Updated 7 years ago
• Glacier759 / Sentiment
  基于情感词典和朴素贝叶斯算法实现中文文本情感分类
  ☆84Updated 11 years ago
• zhangziliang04 / kgRobot
  基于知识图谱的智能问答机器人
  ☆220Updated 7 years ago
• jarvisqi / machine_learning
  NLP 以及相关的学习实践
  ☆40Updated 3 years ago
• krisjin / tiger-kg
  知识图谱、推荐搜索相关资料、AI
  ☆17Updated 4 years ago
• liuhuanyong / DocSentimentAnalysis
  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
• mpk001 / doc2vec_java
  A Java implementation of doc2vec in ICML'14
  ☆25Updated 10 years ago
• YueHub / Answer
  基于本体的语义搜索引擎-Answer-V0.9　问答系统
  ☆83Updated 3 years ago
• liuhuanyong / TopicCluster
  A simple documentary topic analysis implement based on traditional K-means and LDA which can achieve a not-bad result. 基于Kmeans与Lda模型的多文…
  ☆243Updated 6 years ago