YiKeDaBaiTu

YiKeDaBaiTu's Stars

• Embedding/Chinese-Word-Vectors

  100+ Chinese Word Vectors 上百种预训练中文词向量

  Language:Python11.8k2861682.3k

• apache/eventmesh

  EventMesh is a new generation serverless event middleware for building distributed event-driven applications.

  Language:Java1.6k672.3k639

• openstack/neutron

  OpenStack Networking (Neutron). Mirror of code maintained at opendev.org.

  Language:Python1.4k27401.5k

• chaoming0625/SentimentPolarityAnalysis

  情感极性分析repository1：基于情感词典、k-NN、Bayes、最大熵、SVM的情感极性分析。

  Language:Python1.2k3022336

• DemonDamon/Listed-company-news-crawl-and-text-analysis

  从新浪财经、每经网、金融界、**证券网、证券时报网上，爬取上市公司（个股）的历史新闻文本数据进行文本分析、提取特征集，然后利用SVM、随机森林等分类器进行训练，最后对实施抓取的新闻数据进行分类预测

  Language:Python979318262

• zake7749/word2vec-tutorial

  中文詞向量訓練教學

  Language:Python518194166

• CarryChang/Customer_Satisfaction_Analysis

  基于在线民宿 UGC 数据的意见挖掘项目，包含数据挖掘和NLP 相关的处理，负责数据采集、主题抽取、情感分析等任务。目的是克服用户打分和评论不一致，实时对在线民宿的满意度评测，包含在线评论采集和情感可视化分析。搭建了百度地图POI查询入口，可以进行自动化的批量查询 POI 信息的功能；构建了基于在线民宿语料的 LDA 自动主题聚类模型，利用主题中心词能找出对应的主题属性字典；以用户打分作为标注，然后 litNlp 自带的字符级 TextCNN 进行情感分析，将情感分类概率分布作为情感趋势，最后通过 POI 热力图的方式对不同地域的民宿满意度进行展示。软件版本请见链接。

  Language:Python404135126

• openstack/python-novaclient

  OpenStack Compute (Nova) Client. Mirror of code maintained at opendev.org.

  Language:Python388570385

• dongyuanxin/news-emotion

  📉 金融文本情感分析模型

  Language:Python336205129

• Azure-rong/Review-Helpfulness-Prediction

  Project of automatically detecting review helpfulness. Using

  Language:Python146165157

• gyanesh-m/Sentiment-analysis-of-financial-news-data

  Sentiment Analysis of news on stock prices

  Language:Python1205441

• ZaneMuir/DLUT-Emotionontology

  大连理工大学情感词汇本体库及其他相关操作

  Language:Python1202034

• GGL12/TextMining

  某电商手机评论的文本挖掘初体验 功能板块：数据预处理、LDA模型获取特征词、情感极性判断与程度计算、回归模型预测销量排序

  Language:Python1117729

• Zbored/Chinese-sentiment-analysis

  gensim-word2vec+svm文本情感分析

  Language:Python1018136

• iaminblacklist/Financial_Analysis

  基于分布式爬虫，采集互联网公开来源的金融类新闻和文档类文本； 基于文本挖掘技术，进行无监督/半监督学习的数据ETL与特征工程； 基于金融数据挖掘技术，进行宏观经济分析，基本面分析与行业分析

  Language:Python947049

• liuhuanyong/SentimentWordExpansion

  Self complemented sentiment words expansion using seed sentiment words and so-pmi , this method is tested to be effective， 基于情感种子词与so-pmi算法的情感词扩展.

  Language:Python843033

• rohanag/StockMarketSentimentAnalysis

  Sentiment Analysis on Financial Stocks. Sources of information are Twitter, News, Yahoo Finance Statistics.

  Language:Python598120

• dongyuanxin/various-codes

  个人代码/项目仓库（具体请看子目录下的README.md）。自取请注明出处，尊重原创，O(∩_∩)O谢谢

  Language:Python454141

• NUSTM/PMI

  根据褒贬种子词，利用SO-PMI构建情感词典

  Language:Python266217

• NUSTM/DLSC

  document level sentiment classification implemented by tensorflow.

  Language:Python24629

• NanditaRao/Sentiment-Analysis-On-Finance-Data

  The application is a cloud service that provides the functionality of performing sentiment analysis on stock market and financial data. The application can be hosted on Google App Engine and makes use of many of the GAE services like Search Service, MemCache, DataStore etc. Given the name of a company, data from various sources like Twitter, Facebook Graph, Google News, Google Finance etc is aggregated. For each source, different models have been pretrained using some prior data. Using different models provided us with a chance to utilize different Machine Learning methodologies based on the type of data from each source. The various techniques that we have built and tested on are :Naive Bayes, Multinomial and Bernoulli text representations, KNN.

  Language:Python2018

• frendyxzc/word2vec

  基于维基百科语料，使用 gensim 的 word2vec 来训练词向量

  Language:Python13203

• flippedkiki/ChiEemotion_dictionary_expansion

  中文情感词典扩充（正负两类）

  Language:Python71

• Diego999/Risk-Analysis-using-Topic-Models-on-Annual-Reports

  Risk Analysis using Topic Models on Annual Reports. First EDIC semester project (PhD).

  Language:Python6302

• gamijin0/SpiderForTask

  用于抓取专利信息

  Language:Python30

• susuxuer/Emotion_Analysis

  Emotion_Analysis

  Language:Python31

• aditi-rawat/my-first-blog

  Language:HTML1

• Falonie/PythonSpiders

  Language:Python1100