文件列表:

.idea/ (0, 2023-08-19)
.idea/SentimentAnalysisForFinancialNews.iml (1130, 2023-08-19)
.idea/misc.xml (288, 2023-08-19)
.idea/modules.xml (318, 2023-08-19)
.idea/workspace.xml (34474, 2023-08-19)
.ipynb_checkpoints/ (0, 2023-08-19)
.ipynb_checkpoints/named_entity_recognition_analysis-checkpoint.ipynb (12762, 2023-08-19)
SentimentAnalysisForFinancialNews/ (0, 2023-08-19)
SentimentAnalysisForFinancialNews/__init__.py (0, 2023-08-19)
SentimentAnalysisForFinancialNews/__pycache__/ (0, 2023-08-19)
SentimentAnalysisForFinancialNews/__pycache__/__init__.cpython-39.pyc (199, 2023-08-19)
SentimentAnalysisForFinancialNews/__pycache__/settings.cpython-39.pyc (2675, 2023-08-19)
SentimentAnalysisForFinancialNews/__pycache__/urls.cpython-39.pyc (1056, 2023-08-19)
SentimentAnalysisForFinancialNews/__pycache__/wsgi.cpython-39.pyc (654, 2023-08-19)
SentimentAnalysisForFinancialNews/asgi.py (443, 2023-08-19)
SentimentAnalysisForFinancialNews/settings.py (3596, 2023-08-19)
SentimentAnalysisForFinancialNews/urls.py (828, 2023-08-19)
SentimentAnalysisForFinancialNews/wsgi.py (461, 2023-08-19)
classify_news/ (0, 2023-08-19)
classify_news/__init__.py (0, 2023-08-19)
classify_news/__pycache__/ (0, 2023-08-19)
classify_news/__pycache__/__init__.cpython-39.pyc (179, 2023-08-19)
classify_news/__pycache__/admin.cpython-39.pyc (419, 2023-08-19)
classify_news/__pycache__/apps.cpython-39.pyc (483, 2023-08-19)
classify_news/__pycache__/context_processors.cpython-39.pyc (382, 2023-08-19)
classify_news/__pycache__/jjs.cpython-39.pyc (449, 2023-08-19)
classify_news/__pycache__/models.cpython-39.pyc (2358, 2023-08-19)
classify_news/__pycache__/ner.cpython-39.pyc (449, 2023-08-19)
classify_news/__pycache__/savin.cpython-39.pyc (1498, 2023-08-19)
classify_news/__pycache__/scraping.cpython-39.pyc (1501, 2023-08-19)
classify_news/__pycache__/updater.cpython-39.pyc (498, 2023-08-19)
classify_news/__pycache__/urls.cpython-39.pyc (512, 2023-08-19)
classify_news/__pycache__/views.cpython-39.pyc (2854, 2023-08-19)
classify_news/admin.py (265, 2023-08-19)
classify_news/apps.py (416, 2023-08-19)
classify_news/context_processors.py (135, 2023-08-19)
classify_news/migrations/ (0, 2023-08-19)
classify_news/migrations/0001_initial.py (2644, 2023-08-19)
classify_news/migrations/0002_alter_classifiednews_sentiment_text.py (526, 2023-08-19)
... ...

# SentimentAnalysisForFinancialNews This is a Django application for predicting whether the sentiment of a financial news headline is positive, negative or neutral.
This project didn't focus on model building, the project for building the model is here - https://github.com/Chengetanaim/SentimentAnalysisForFinancialNewsNotebook
Web scraping tools were used to scrape financial data from the Financial Times website. # What I Did/Learnt: - loading the model for predicting sentiment of a financial news headline - use web scraping tools to scrape data from the Financial Times website - using named entity recognition to detect the main talked about countries in most financial news - plotting interactive visualizations about sentiment and named entity recognition analytics using Chart js # How to run the program - Make sure you have python installed on your pc - In the root folder of the project, run pip install -r requirements.txt using cmd or your text editor - After the dependencies have been installed, run python manage.py runserver - Copy the url provided and open it in your browser

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