There are 2 repositories under finbert topic.
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
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)
Forecasting Stock Price (Independent Capstone project)
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
A romanian version of BERT, Distil-BERT-base-ro, fine-tuned 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)
FinBERT and FinRoBERTa for Mathematica
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 super-quick demo to start discussions on bias in Finnish BERT language model
Can I decide if to invest or not based on the news of the month before?
Sentiment Analysis and SparkML modeling on Financial Data using HuggingFace, Spark, MongoDB, Airflow and GCS.
Final (Group) Project for CSC-483. Choose a real-world issue related to Natural Language Processing and design a program to model/solve it.
Finetuned FinBERT for sentiment classification of Financial News Headlines
Final Project for OSE Scientific Computing for Economists course at the MSc Economics program, University of Bonn
Full code for my Medium article exploring the use of sentiment analysis as a buy trading signal.
This project utilizes FinBERT, a pre-trained model, to create a sentiment analysis algorithm tailored for finance-related news. Additionally, it includes a web scraping system to gather data from the Financial Times website for analysis.
게이피케이션을 활용한 주식 포트폴리오 시각화 프로젝트입니다.