Pinned Repositories
Analysis-On-Relation-Between-Real-time-News-Sentiment-And-Stock-Market-Portfolio
In this project, we use two sets of data to draw insights on how media sentiment can be an indicator for the financial sector. For the financial data, we plan to use daily return of the market index <font color='green'>(^GSPC)</font>, which is a good indicator for market fluctuation; for media sentiment, we use summarized information of news pieces from top 10 most popular press because of their stronger influence in shaping people's perception of events that are happening in the world.** **Both sets of data are real-time, which means the source files are of the moment and need to be loaded each time analysis is performed. The sentiment analysis library returns a <font color='green'>polarity</font> score (-1.0 to 1.0) and a <font color='green'>polarity</font> score (0.0 to 1.0) on the news stories. Using quantified sentiment analysis, we juxtapose the two time series of data and observe if they present any correlation and search for potential causality. For example, we may test the hypothesis that when polarity among the daily news posts is higher (a.k.a., positive), the financial market that same day is more likely to rise. The rest of the notebook is a step-by-step instruction.
Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Big_Data_Analysis
homework of the course Big_Data_Analysis
DiSAN
Code of Directional Self-Attention Network (DiSAN)
Familia
A Toolkit for Industrial Topic Modeling
GNNPapers
Must-read papers on graph neural networks (GNN)
GPT2-Chinese
Chinese version of GPT2 training code, using BERT tokenizer.
HanLP
中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理
HGNN
implementation for paper Factorial User Modeling with Hierarchical Graph Neural Network for Enhanced Sequential Recommendation
License_Plate_Detection_Pytorch
Clone from https://github.com/xuexingyu24/License_Plate_Detection_Pytorch
xlx0010's Repositories
xlx0010/HGNN
implementation for paper Factorial User Modeling with Hierarchical Graph Neural Network for Enhanced Sequential Recommendation
xlx0010/License_Plate_Detection_Pytorch
Clone from https://github.com/xuexingyu24/License_Plate_Detection_Pytorch
xlx0010/Analysis-On-Relation-Between-Real-time-News-Sentiment-And-Stock-Market-Portfolio
In this project, we use two sets of data to draw insights on how media sentiment can be an indicator for the financial sector. For the financial data, we plan to use daily return of the market index <font color='green'>(^GSPC)</font>, which is a good indicator for market fluctuation; for media sentiment, we use summarized information of news pieces from top 10 most popular press because of their stronger influence in shaping people's perception of events that are happening in the world.** **Both sets of data are real-time, which means the source files are of the moment and need to be loaded each time analysis is performed. The sentiment analysis library returns a <font color='green'>polarity</font> score (-1.0 to 1.0) and a <font color='green'>polarity</font> score (0.0 to 1.0) on the news stories. Using quantified sentiment analysis, we juxtapose the two time series of data and observe if they present any correlation and search for potential causality. For example, we may test the hypothesis that when polarity among the daily news posts is higher (a.k.a., positive), the financial market that same day is more likely to rise. The rest of the notebook is a step-by-step instruction.
xlx0010/Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
xlx0010/Big_Data_Analysis
homework of the course Big_Data_Analysis
xlx0010/DiSAN
Code of Directional Self-Attention Network (DiSAN)
xlx0010/Familia
A Toolkit for Industrial Topic Modeling
xlx0010/GNNPapers
Must-read papers on graph neural networks (GNN)
xlx0010/GPT2-Chinese
Chinese version of GPT2 training code, using BERT tokenizer.
xlx0010/HanLP
中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理
xlx0010/hello-world
learning notes
xlx0010/kaggle
A collection of Kaggle solutions. Not very polished.
xlx0010/lda
Topic modeling with latent Dirichlet allocation using Gibbs sampling
xlx0010/lda2vec
xlx0010/LeetCode
:pencil2: LeetCode solutions in C++ 11
xlx0010/msnews.github.io
xlx0010/online_dialog_eval
Code for the paper "Learning an Unreferenced Metric for Online Dialogue Evaluation", ACL 2020
xlx0010/python-newsapi
Python wrapper for newsapi.org api
xlx0010/pytudes
Python programs to practice or demonstrate skills.
xlx0010/Racing
Going Faster
xlx0010/recommenders
Best Practices on Recommendation Systems
xlx0010/SimilarCharacter
对常用的6700个汉字进行音、形比较，输出音近字、形近字的列表。 # 相近字
xlx0010/stock_price_prediction
DJIA index prices of 10 years and NYtimes news articles headline has been used to predict the DJIA index prices
xlx0010/Tensorflow-Tutorial
Tensorflow tutorial from basic to hard
xlx0010/test
for test
xlx0010/the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.