Deep Multiple Instance Learning For Forecasting Stock Trends Using Financial News

29 June 2022

Papers citing "Deep Multiple Instance Learning For Forecasting Stock Trends Using Financial News"

10 / 10 papers shown

Title
A Novel Distributed Representation of News (DRNews) for Stock Market Predictions Ye Ma Lu Zong Peiwan Wang AIFin 48 5 0 24 May 2020
News-Driven Stock Prediction With Attention-Based Noisy Recurrent State Transition Xiao Liu Heyan Huang Yue Zhang Changsen Yuan AIFin AI4TS 40 16 0 04 Apr 2020
Leveraging Financial News for Stock Trend Prediction with Attention-Based Recurrent Neural Network Huicheng Liu AIFin 32 28 0 15 Nov 2018
A Comparison of Five Multiple Instance Learning Pooling Functions for Sound Event Detection with Weak Labeling Yun Wang Juncheng Billy Li Florian Metze 77 184 0 22 Oct 2018
Using NLP on news headlines to predict index trends Marc Velay Fabrice Daniel AIFin 14 10 0 22 Jun 2018
Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction Ziniu Hu Weiqing Liu Jiang Bian Xuanzhe Liu Tie-Yan Liu 51 308 0 06 Dec 2017
Multiple Instance Learning Networks for Fine-Grained Sentiment Analysis Stefanos Angelidis Mirella Lapata 66 129 0 27 Nov 2017
Skip-Thought Vectors Ryan Kiros Yukun Zhu Ruslan Salakhutdinov R. Zemel Antonio Torralba R. Urtasun Sanja Fidler SSL 228 2,412 0 22 Jun 2015
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 656 13,438 0 25 Aug 2014
Efficient Estimation of Word Representations in Vector Space Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 701 31,571 0 16 Jan 2013