Open AccessAn Empirical Study of Stock Return and Investor Sentiment Based on Text Mining and LSTM
Author(s) -
Ren Tianyu
Publication year - 2019
Publication title -
proceedings of the 2019 4th international conference on social sciences and economic development (icssed 2019)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.2991/icssed-19.2019.104
Subject(s) - sentiment analysis , computer science , stock (firearms) , artificial intelligence , empirical research , natural language processing , econometrics , data mining , financial economics , economics , statistics , mathematics , history , archaeology