The experiments found that investor sentiment in online reviews had a significant impact on stock yield. The experiments show that the Bert model used in this paper can achieve an accuracy of 97.35% for the analysis of investor sentiment, which is better than both LSTM and SVM methods....
A BERT pre-trained model for the financial domain would be specifically trained on a large corpus of financial documents, reports, news articles, and other relevant texts related to the finance industry. This specialized BERT modelwould be fine-tuned to understand the nuances of financial terminolog...
In our solution, we implement a hyperparameter grid search on an EKS cluster for tuning a bert-base-cased model for classifying positive or negative sentiment for stock market data headlines. The code can be found on theGitHub repo.
英文原文:LSTM vs BERT — a step-by-step guide for tweet sentiment analysis 标签:情感分类 Note from Towards Data Science’s editors:While we allow independent authors to publish articles in accordance with our 01 Image by Author Note from Towards Data Science’s editors:While we allow independen...
Technical analysis on the stock market with the help of technical indicators has been the most common practice among traders and investors. One more aspect is the sentiment analysis - the emotion of the investors that shows the willingness to invest. A variety of techniques have been used by ...
BERT-BiLSTM-Attention model for sentiment analysis on Chinese stock reviews COVID-19 has produced significant fluctuations and impacts on the Chinese stock market, and the sentiment analysis of stock reviews is important for the st... X Li,L Chen,B Chen,... - 《Applied Mathematics & Nonlinea...
The experiments found that investor sentiment in online reviews had a significant impact on stock yield. The experiments show that the Bert model used in this paper can achieve an accuracy of 97.35% for the analysis of investor sentiment, which is better than both LSTM and...
COVID-19 has produced significant fluctuations and impacts on the Chinese stock market, and the sentiment analysis of stock reviews is important for the study of economic recovery. Owing to the shortage of well-annotated Chinese stock reviews, and the more emotional complexity and obscurity of ...
To address this challenge, in this paper, a novel sentiment analysis model for Chinese stock reviews based on BERT is proposed. This model relies on a pre-trained model to improve the accuracy of classification. The model use a BERT pre-training language model to perform representation of ...
While the lexical approach needs a specific dictionary for the financial domain, algorithms based on machine learning need a database manually labeled by experts. In this sense, this work aims to propose an approach to forecast the Brazilian stock market using news headlines preprocessed through ...