Sentiment Analysis of news on stock prices
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Updated
May 22, 2023 - Python
Sentiment Analysis of news on stock prices
Robust and Memory Efficient Event Detection and Tracking in Large News Feeds
This API will scrap the news content present in the NDTV website will provide the data in a JSON format.
Dow Jones Developer Platform repository index.
Comprehensive dataset of Bitcoin news articles and Fear & Greed Index data collected hourly from major cryptocurrency publications
Scrapy-Django PostgreSQL integration. Scrapes English news data from Bangladesh (4k+ pages)
Two leading newspaper Prothom-Alo and Dailystar news scrubber
Free news datasets from Newsdata.io for ML, NLP, and sentiment analysis - Business, Sports, Entertainment, Health, COVID, Politics, Tech & more.
News Scraper App using Python and Beautiful Soup
Naive Bayes and Decision Tree Classifiers implemented with Scikit-Learn and Graphviz visualization (Datasets - News, Mushroom, Income)
ONE PAGE (simplified) version of News Data Summarizer App using Python
A Python-powered news monitoring system that fetches real-time articles from newsdata.io API and indexes them into Elasticsearch. Features automated sentiment analysis, smart deduplication, and beautiful Kibana dashboards. Perfect for tracking news trends across topics and sources.
News about significant changes of climate
Creates a .csv file with news data from The New York Times by using the V2 API.
Forecasting NASDAQ trends using financial news sentiment analysis with NLP, GPT-2 augmentation, and time-series modeling.
News data archive of Covid19 Monitoring Service
World News API is a real-time and historical news data API covering thousands of sources across 210+ countries and 86+ languages. It provides full-text and semantic news search, geo-targeted local news search (a radius filter around a latitude/longitude point), article content and link extraction from arbitrary URLs, country-level top news…
A daily updated repository of JSON-structured business news from various Nepalese news portals. Access data by date for analysis, research, and development purposes.
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