Tag: NLP
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Python Data Science for Real Estate & REIT Amsterdam: (Auto) EDA, NLP, Maps & ML

The Amsterdam real estate market has experienced a significant resurgence, with property prices increasing by double digits annually since 2013. Data science is being used to analyze the city’s housing and rental markets, revealing insights on the impact of Airbnb and empowering communities with the necessary information. Comprehensive data analysis and machine learning techniques are…
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Robust Fake News Detection: NLP Algorithms for Deep Learning and Supervised ML in Python

The project aims at setting up a robust system for fake news detection using Python. The system adopts a hybrid framework, leveraging Natural Language Processing (NLP) techniques to classify text-based fake vs real news. Involving exploratory data analysis, multi-model training, testing, validation, and performance metrics comparison, it assesses different Deep Learning, Supervised Machine Learning, and…
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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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Customer Reviews NLP Spacy Analysis and ML/AI Demand Forecasting of the Steam PC Video Game Service

Steam, a leading digital distribution platform for PC gaming, has seen over 6000 new games released in 2022, averaging over 34 games each day. This post aims to conduct comprehensive customer reviews NLP sentiment analysis and ML/AI demand forecasting using public-domain datasets. It covers EDA, NLP Spacy analysis, ML/AI pipeline, model validation, word clouds, and…
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Comparison of 20 ML + NLP Algorithms for SMS Spam-Ham Binary Classification

This post analyzes a public-domain SMS text message dataset to compare various machine learning algorithms’ abilities to classify spam and ham messages. After implementing a Python workflow that includes data preparation, exploratory analysis, natural language processing, supervised machine learning binary classification, and a model performance analysis, the author finds that MLP, Logistic Regression CV, Linear…
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NLP of Restaurant Guest Reviews on Tripadvisor

This is a comprehensive study examining restaurant reviews on TripAdvisor across 31 major European cities. The research, based on a dataset scraped from TripAdvisor, aims to perform a sentiment analysis of reviews, exploring average ratings per city, vegetarian-friendly cities, and how local cuisine compares to foreign food. The analysis is carried out using Python, demonstrating…
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GPT & DeepLake NLP: Amazon Financial Statements

The post outlines the implementation of an AI-powered chatbot using NLP to process and analyze financial data from Amazon’s financial statements. The tool employs LlamaIndex and DeepLake to answer queries, summarize financial information, and analyze trends. This approach enhances the efficiency of data analysis, making it a valuable resource for finance and banking professionals.
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Overview of AWS Tech Portfolio 2023

This summary focuses on the extensive capabilities of Amazon Web Services (AWS) by 2023, highlighting its 27% year-on-year growth and a net sales increase to $127.1 billion. AWS emerges as the top cloud service provider, offering over 200 services including compute, storage, databases, networking, AI, and machine learning. It is constantly expanding operations, having opened…
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A Simple YouTube Download NLP GUI

This post provides a simple NLP example – a Python-based YouTube video downloader GUI application by Naem Azam. The code imports relevant libraries, sets the working directory, and creates a user interface for downloading YouTube videos. The post also includes instructions for running the GUI code and the expected outcome.
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NETFLIX Interactive Visualization with Plotly

This project implements Python-3 EDA, streaming data visualization, and interactive Plotly UI to review Netflix movies and TV shows. It aims to understand content availability in different countries, identify similar content, and analyze the focus on TV shows vs. movies. The Kaggle Netflix dataset details TV shows and movies available on the platform. Netflix is…
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Semantic Analysis and NLP Visualizations of Wine Reviews

The study aims to develop a predictive model that identifies wines using the syntax and language prevalent in wine reviews like a master sommelier. Drawn from a Kaggle set of 130k reviews, the model identifies common vocabulary and usage patterns among wine experts, enabling automatic prediction of wine characteristics based purely on review text. The…
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Textual Genres Analysis using the Carloto’s NLP Algorithm

Featured Photo by Dominika Roseclay on Pexels. Computational Linguistics (CL) is the scientific study of language. Oftentime, CL is linked to the Python software development based on Natural Language Processing (NLP) libraries. NLP basically consists of combining machine learning (ML) techniques with text, and using math and statistics to get that text in a format…
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Build A Simple NLP/NLTK Chatbot

Chatbots are computer programs that automate conversations with users, providing real-time customer support and industry-specific solutions. This example demonstrates creating a chatbot using Python within Jupyter IDE and implementing simple dialogue. Chatbots are widely used in digital marketing for various business applications, such as customer service, sales, FAQ, shopping, and marketing.