A simple news scraper built with newspaper3k, it can be modified to suite any news based application. Scarping the internet for articles couldn't be much easier
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Updated
Aug 13, 2021 - Python
A simple news scraper built with newspaper3k, it can be modified to suite any news based application. Scarping the internet for articles couldn't be much easier
A web application that summarizes your texts and articles. You can directly paste your article or paste the URL of the article you want to summarize.
Fetch article from a list of newspaper and retrieve relevent article based on a reference keywords file.
"Python-Scraping-Hands-On" ist ein Tutorial-Projekt für Web Scraping mit Selenium, BeautifulSoup, Newspaper3K und Pandas. Es demonstriert das Scraping von TheHackerNews und Olympedia als Beispiele und vermittelt die Grundlagen modularer Programmierung in Python.
Test Driven Development for web summarizer project with fastapi and implementing Containerization, CI/CD method, github action workflows and deployment
Newspaper3k tiny "kommand-line" interface (CLI) wrapper with parallelism support using AsyncIO supporting bulk page download.
A collection of NLP tools for summarizing and analyzing news articles
Bots with different features and goals. Created to simplify my and your lifes.
Summarizer for articles on python using nltk and newspaper3k libraries.
Neural Network using Keras, Google Search API and AsyncIO.
Article summarization service
Stock data scrapers and other useful scripts
A twitter bot that summarizes any news article you tag it with.
Convert the text of articles to speech using nltk, newspaper and gTTS with Python.
This a simple news scraper and notification script
A small working prototype of centralized newsfeed system.
Developed a machine learning model to detect media bias in news articles. Employed natural language processing techniques to analyze text content and classify sources into unbiased, left-leaning, or right-leaning categories. This project enhanced my expertise in text analysis and understanding of media landscape.
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