Finetuned FinBERT for sentiment classification of Financial News Headlines
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Updated
Sep 9, 2023
Finetuned FinBERT for sentiment classification of Financial News Headlines
Financial Sentiment Analysis with Naive Bayes, BERT and FinBERT
게이피케이션을 활용한 주식 포트폴리오 시각화 프로젝트입니다.
Can I decide if to invest or not based on the news of the month before?
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.
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
FinBERT and FinRoBERTa for Mathematica
Full code for my Medium article exploring the use of sentiment analysis as a buy trading signal.
A super-quick demo to start discussions on bias in Finnish BERT language model
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.
Analysis of Chinese Financial Discourse Based on Topic Clustering and Emotional Evolution | Fall 2023 - Spring 2024
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.
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
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