Chrome extension

vaclavstibor/NSZZ031

Entity-level sentiment analysis on financial news. Extracts news data, performs named entity recognition and sentiment analysis at the company level, and models relationships between news and stocks using a graph-based representation to study correlations with market price movements.

Jupyter Notebook

0

140 commits

updated Nov 28, 2024

README

NSZZ031 - Bachelor Thesis

This repository is for the final Bachelor Thesis course NSZZ031 at MFF UK.

Thesis	Demo	Docker Hub	Finalist of PROFINIT AI Talents 2024 \| HotSpot Conference

Poster

Final-Presentation

bachelor-thesis

etl

financial-sentiment-analysis

indicator

ner

news

nlp

sentiment-analysis

stocks

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vaclavstibor/NSZZ031

Entity-level sentiment analysis on financial news. Extracts news data, performs named entity recognition and sentiment analysis at the company level, and models relationships between news and stocks using a graph-based representation to study correlations with market price movements.

Jupyter Notebook

0

140 commits

updated Nov 28, 2024

README

NSZZ031 - Bachelor Thesis

This repository is for the final Bachelor Thesis course NSZZ031 at MFF UK.

Thesis	Demo	Docker Hub	Finalist of PROFINIT AI Talents 2024 \| HotSpot Conference

Poster

Final-Presentation

bachelor-thesis

etl

financial-sentiment-analysis

indicator

ner

news

nlp

sentiment-analysis

stocks

Similar repos

cvikl/nlp_project

Financial news sentiment analysis and its efffect on the stock price movement.

0

mdj1412/stock_news_analysis

News Crawling, Q&A, NER (Flask, CSS, JS)

0

mdj1412/stock_news_summaries_AI

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

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adlnlp/StockEmotions

Repository for "StockEmotions: Discover Investor Emotions for Financial Sentiment Analysis and…

92

ProsusAI/finbert

FinBERT is a pre-trained NLP model to analyze sentiment of financial text. It is built by further…

1,277

kktallam/ML-Capstone-Project-006

The central objective is to explore how sentiment extracted from financial news articles can be…

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