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題名:透過傾向分析進行股價趨勢預測的實務經驗分享
書刊名:管理與資訊學報
作者:顏士杰
作者(外文):Yen, Marty Shih-jye
出版日期:2021
卷期:26
頁次:頁73-87
主題關鍵詞:傾向分析機器學習股價分析自然語言處理Sentiment analysisMachine learningStock analysisNatural language processing
原始連結:連回原系統網址new window
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  • 被引用次數被引用次數:期刊(0) 博士論文(0) 專書(0) 專書論文(0)
  • 排除自我引用排除自我引用:0
  • 共同引用共同引用:0
  • 點閱點閱:3
期刊論文
1.Loughran, Tim、McDonald, Bill(2011)。When is a liability not a liability? Textual analysis, dictionaries, and 10-Ks。The Journal of Finance,66(1),35-65。  new window
2.Chowdhury, G. G.(2003)。Natural language processing。Annual review of information science and technology,37(1),51-89。  new window
3.Bhati, R. G.(2020)。Sentiment Analysis: A Deep Survey on Methods and Approaches。Int'l Journal of Disaster Recovery and Business Continuity,11(1),503-511。  new window
4.Malo, P.、Sinha, A.、Korhonen, P.、Wallenius, J.、Takala, P.(2014)。Good debt or bad debt: Detecting semantic orientations in economic texts。Journal of the Association for Information Science and Technology,65(4),782-796。  new window
會議論文
1.Hutto, C. J.、Gilbert, E. E.(2014)。VADER: A Parsimonious Rule-based Model for Sentiment Analysis of Social Media Text。The 8th International AAAI Conference on Weblogs and Social Media,(會議日期: 2014/06/01-2014/06/04)。  new window
2.Uhr, P.、Zenkert, J.、Fathi, M.(2014)。Sentiment Analysis in Financial Markets。IEEE International Conference on Systems, Man and Cybernetics。  new window
學位論文
1.Aracy, D.(2019)。FinBERT: Financial Sentiment Analysis with Pre-Trained Language Models(碩士論文)。U. of Amsterdam。  new window
圖書
1.Chio, C.、Freeman, D.(2018)。Machine Learning & Security。O'Reilly。  new window
2.Nielsen, A.(2020)。Practical Time Series Analysis: Prediction with Statistics & Machine Learning。O'Reilly。  new window
單篇論文
1.Devlin, Jacob,Chang, Ming-Wei,Lee, Kenton,Toutanova, Kristina(2018)。BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding,https://arxiv.org/pdf/1810.04805v1,(1810.04805)。  new window
其他
1.Peng, N. Y.(20200521)。How NLP has evolved for Financial Sentiment Analysis,https://towardsdatascience.com/how-nlp-has-evolved-for-financial-sentiment-analysis-fb2990d9b3ed。  new window
2.Alammar, J.(20181203)。The Illustrated BERT, ELMo, and co. (How NLP Cracked Transfer Learning),http://jalammar.github.io/illustrated-bert/。  new window
3.Boh, Damian(20200506)。Sentiment Analysis of Stocks from Financial News Using Python,https://towardsdatascience.com/sentiment-analysis-of-stocks-from-financial-news-using-python-82ebdcefb638。  new window
4.Briggs, J.(20201205)。Sentiment Analysis for Stock Price Prediction: How we can predict stock price movement using Twitter,https://towardsdatascience.com/sentiment-analysis-for-stock-price-prediction-in-python-bed40c65d178。  new window
5.Es, S.(2020)。Sentiment Analysis in Python: TextBlob vs. Vader Sentiment vs. Flair vs. Building It from Scratch,https://neptune.ai/blog/sentiment-analysis-python-textblob-vs-vader-vs-flair。  new window
6.Hasan, K. S. B.(20190104)。Stock Prediction Using Twitter,https://towardsdatascience.com/stock-prediction-using-twitter-e432b35e14bd。  new window
7.Takahashi, Y.(20201003)。NLP in the Financial Market: Sentiment Analysis,https://towardsdatascience.com/nlp-in-the-financial-market-sentiment-analysis-9de0dda95dc。  new window
8.Sanh, V.(20190828)。Smaller, faster, cheaper, lighter: Introducing DistilBERT, a distilled version of BERT,https://medium.com/huggingface/distilbert-8cf3380435b5。  new window
 
 
 
 
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