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Titlebook: ECML PKDD 2018 Workshops; MIDAS 2018 and PAP 2 Carlos Alzate,Anna Monreale,Tiziano Squartini Conference proceedings 2019 Springer Nature Sw

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書(shū)目名稱ECML PKDD 2018 Workshops
副標(biāo)題MIDAS 2018 and PAP 2
編輯Carlos Alzate,Anna Monreale,Tiziano Squartini
視頻videohttp://file.papertrans.cn/301/300278/300278.mp4
叢書(shū)名稱Lecture Notes in Computer Science
圖書(shū)封面Titlebook: ECML PKDD 2018 Workshops; MIDAS 2018 and PAP 2 Carlos Alzate,Anna Monreale,Tiziano Squartini Conference proceedings 2019 Springer Nature Sw
描述.This book constitutes revised selected papers from two workshops held at the 18.th. European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2018, in Dublin, Ireland, in September 2018, namely:..MIDAS 2018. – Third Workshop on Mining Data for Financial Applications .and.PAP 2018. – Second International Workshop on Personal Analytics and Privacy...The 12 papers presented in this volume were carefully reviewed and selected from a total of 17 submissions...?.
出版日期Conference proceedings 2019
關(guān)鍵詞artificial intelligence; commerce; data mining; data privacy; data security; internet; privacy; privacy pre
版次1
doihttps://doi.org/10.1007/978-3-030-13463-1
isbn_softcover978-3-030-13462-4
isbn_ebook978-3-030-13463-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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A Comparison of Neural Network Methods for Accurate Sentiment Analysis of Stock Market Tweetsnce of this task for financial institutions, models being used still lack high accuracy. Also, most of these models are not built specifically on stock market data. Therefore, there is still a need for a highly accurate model of sentiment classification that is specifically tuned and trained for sto
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A Web Crawling Environment to Support Financial Strategies and Trend Correlation and extract relevant information. We collected all these instruments in a collaborative environment called ., offering a GUI to operate remotely. Finally, we describe an ongoing activity on semantic crawling and data analysis to discover trends and correlations in finance.
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