Deep Learning Transformer models in MATLAB
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Updated
Sep 19, 2023 - MATLAB
Deep Learning Transformer models in MATLAB
Financial Domain Question Answering with pre-trained BERT Language Model
Notebooks for fine-tuning a BERT model and training a LSTM model for financial QA
Earnings Call Sentiment Analysis. This repository includes my work on extracting the focus area of companies from their earnings calls transcripts.
Sentiment Analysis On Financial News Headlines With BERT & FinBERT
Hands-on guide for sentiment analysis in quarterly conference calls
This project is aimed to create an automated method that is able to identify emerging risks faced by multiple businesses and industries, and the trends of those risks.
A Deep Learning Sentiment Analysis on News Headlines using FinBERT (Python)
This repository contains the code and data for an exploratory study on financial sentiment analysis of annual reports from the current member companies of the Philippine Stock Exchange index. The study was conducted as part of the MSFIN299 course at the University of the Philippines Diliman
Forecasting Stock Price (Independent Capstone project)
Stock Sentinel is a web app providing stock market investors with sentiment analysis and news aggregation. It uses FinBERT for sentiment analysis and offers stock information, similar stocks suggestions, summaries, and news stories. With real-time insights, it helps users make informed investment decisions. Installation is easy with cloning, depend
FinBERT pre-trained models as a containerized HTTP service.
Utilizing the sophisticated Recurrent Neural Network (RNN) models, particularly Long Short-Term Memory (LSTM), in combination with FinBERT sentiment analysis, to improve the precision of stock portfolio analysis.
A romanian version of BERT, Distil-BERT-base-ro, fine-tuned for Sentiment Analysis on translations of Financial Phrasebank.
計算台灣上市櫃公司英文永續報告書的揭露語調分數(Tone)
Final Project for OSE Scientific Computing for Economists course at the MSc Economics program, University of Bonn
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