Category: Webscraping
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Real-Time Stock Sentiment Analysis w/ NLP Web Scraping
Stock sentiment analysis is gaining popularity as a technique to understand public opinions on specific assets. This study uses NLP web scraping in Python to extract stock sentiments from financial news headlines on FinViz. The sentiment analysis can help determine investor opinions and potential impacts on stock prices, though it is not a standalone predictor.
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NLP & Stock Impact of ChatGPT-Related Tweets
This Python project extends a recent study on half a million tweets about OpenAI’s language model, ChatGPT. It uncovers public sentiment about this rapidly growing app and examines its impact on the future of AI-powered LLMs, including stock influences. The project uses data analysis techniques such as text processing, sentiment analysis, identification of key influencers,…
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ML Prediction of High/Low Video Game Hits with Data Resampling and Model Tuning
The post outlines a ML-based approach to forecast video game sales, using several techniques to enhance training, accuracy, and prediction. The Kaggle’s VGChartz dataset, containing sales data and other game-specific information, was used to build and refine the model. Several ML techniques including RandomForestClassifier and Logistic Regression yielded top predictors, with the critic’s score deemed…
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An Overview of Video Games in 2023: Trends, Technology, and Market Research
The gaming industry is rapidly growing, projected to reach a revenue of $365.6 billion in 2023. Major trends include Web3 gaming, AI integration, and a push for consolidation. Fashion brands collaborate for virtual sales, and advances in gaming technology, such as AR/VR and cloud-based gaming, promise an even more immersive experience for gamers.
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Unsupervised ML, K-Means Clustering & Customer Segmentation
The goal of this post is to describe the most popular, easy-to-use, and effective data-driven techniques that help organizations streamline their operations, build effective relationships with with individual people (customers, service users, colleagues, or suppliers), increase sales, improve customer service, and increase profitability. Customer Segmentation (CS) is a core concept in this technology. This is the…
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Risk-Aware Strategies for DCA Investors
Dollar-Cost Averaging (DCA) is an investment approach that involves investing a fixed amount regularly, regardless of market price. It offers benefits such as risk reduction and market downturn resilience. It’s useful for beginners and can be combined with other strategies for a disciplined investment approach. References include Investopedia and Yahoo Finance.
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Trending YouTube Video Data Science, NLP Predictions & Sentiment Analysis
YouTube (YT) is probably the most popular web platform that is easy to share non-textual content such as videos and animations. The goal of this post is to get data science insights into YouTube trending videos for many countries, to see what is common between these videos. Specifically, the following questions need to be answered: How many views,…
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Turkey/Syria Earthquake Live Knowledge Update & Charity Guide
Turkey has recently experienced a high frequency of earthquakes, the largest being a magnitude of 7.8 near Nurdağı, Gaziantep, on February 6th, 2023. This was one of the most powerful earthquakes in the country’s history, resulting in over 22,000 deaths and significant damage across Southern Turkey and Northern Syria. The aftermath left many survivors homeless,…
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A Roadmap from Data Science to BI via ML
The blog post presents a comprehensive roadmap to Data Science (DS), providing an overview of career prospects, the field’s intersections with Mathematics, Statistics, and Computer Science, and its business relevance. The text details the earning potential of data scientists and the steps towards becoming one, including Data Analysis, Machine Learning, and Business Intelligence. It highlights…
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Hands-On USGS Webscraping of Earthquakes- Worldwide (24 Hours)
A live global earthquake tracker has been developed using the USGS earthquake data feed. This tool, which functions 24/7, distinguishes between underground nuclear explosions and organic or man-made seismic activities such as earthquakes and mining explosions. This tracker is crucial given that a third of the world’s population is exposed to earthquakes.
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Gulf’s Oil Price Web Scraping in R
Gulf’s Oil Price Web Scraping in R. Gulf states to gain $1.3 trillion in additional oil revenue by 2026: IMF. We discuss the basics of sourcing oil market price data for free online. discuss the basics of sourcing oil market price data for free online. Webscraping in R is a technique to retrieve large amounts…
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Webscraping in R – The IMDb Showcase
IMDB ETL Showcase in R Studio Read content Data editing Visuals & Insights
