This program aims to give a sentiment score to each headline featured in today's top stories. Eventually it aims to gather insights about the top headlines being reported.
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Updated
Oct 13, 2024 - Jupyter Notebook
This program aims to give a sentiment score to each headline featured in today's top stories. Eventually it aims to gather insights about the top headlines being reported.
FinBERT pre-trained models as a containerized HTTP service.
Analysis of Chinese Financial Discourse Based on Topic Clustering and Emotional Evolution | Fall 2023 - Spring 2024
Thesis of my masters in Data Science. This project implements a deep learning framework applied to stock portfolio management. Using the top 20 stocks of FTSE (Financial Times Stock Exchange) top 100 by market share.
A romanian version of BERT, Distil-BERT-base-ro, fine-tuned for Sentiment Analysis on translations of Financial Phrasebank.
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
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.
計算台灣上市櫃公司英文永續報告書的揭露語調分數(Tone)
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.
Final Project for OSE Scientific Computing for Economists course at the MSc Economics program, University of Bonn
Deep Learning Transformer models in MATLAB
Finetuned FinBERT for sentiment classification of Financial News Headlines
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
Financial Domain Question Answering with pre-trained BERT Language Model
FinBERT and FinRoBERTa for Mathematica
A Deep Learning Sentiment Analysis on News Headlines using FinBERT (Python)
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