Parsing the Web: Large-Scale Syntactic Processing - 2009 Workshop Closing Presentation
Explore large-scale syntactic processing techniques for parsing web content in this comprehensive workshop presentation from CLSP at Johns Hopkins University.
Computational Methods to Analyze Lexical Semantic Change and Variation from Historical Texts
Explore computational techniques for analyzing lexical semantic evolution in historical texts, uncovering linguistic patterns and variations over time.
KOALitionsvertragsAnalyse – Dem Vertrag auf den Zahn fühlen
Analyse des Koalitionsvertrags mit verschiedenen Textanalyse-Methoden: als Sourcecode, Spezifikation, Objektmodell und Literatur. Einblicke in Struktur und Inhalt des Ampel-Vertrags.
Bringing AI to the Edge - On Premise Azure Cognitive Services - Open Source
Explore Azure Cognitive Services containers for on-premise AI, with demos of local Face and Text services. Learn to configure and implement edge AI solutions.
Building Smarter Apps with Machine Learning - From Magic to Reality
Explore how to enhance apps with Machine Learning APIs and AutoML techniques, analyzing text, image, audio, and video data without extensive AI knowledge.
A Machine Learning Mood-O-Meter
Realizzazione di un analizzatore di sentiment per determinare il tono positivo o negativo dei testi, utilizzando commenti Reddit e Spark con Scala per creare un classificatore e misurare l'umore degli utenti.
Watson and the Cognitive Developer
Explore Watson's machine learning capabilities for enterprise Java applications, including natural language processing, conversation workspaces, and document conversion. Learn best practices for cognitive app development.
What Can We Learn from 750 Billion GitHub Events and 42 TB of Code
Explore insights from GitHub's vast dataset, including coding patterns, project design, community health, and static code analysis, to enhance software development practices.
What Can We Learn from 750 Billion GitHub Events and 42 TB of Code
Explore GitHub's vast dataset to gain insights on coding patterns, project design, community dynamics, and effective collaboration in open-source development.
Für ein neues anarchistisches Bewusstsein
Diskussion anarchistischer Grundgedanken anhand aktueller Texte: Vielfalt, Theoriebildung, Organisation und ethisches Leben aus anarchistischer Perspektive. Mit Input, Gruppenarbeit und Diskussion.
Elasticsearch from the Bottom Up
Explore Elasticsearch and Lucene architecture, focusing on inverted index structure, index terms, text analysis, segment-based indexing, caching, and distributed search processing across shards.
Recipe for Text Analysis in Social Media
Explore text analysis in social media using Naïve Bayes classifiers, sentiment analysis, and linguistic information. Learn about opinion lexicons and supervised vs unsupervised learning approaches.
Introduction to Sentiment Analysis with SpaCy
Learn to extract opinions from text using spaCy, covering sentiment analysis basics, topic extraction, and rating consolidation. Includes practical examples in German with English translations.
Digital Transformation in the Fight Against Coronavirus
Explore how Goiás state in Brazil leveraged digital transformation and machine learning to enhance public services and information dissemination during the COVID-19 pandemic.
Word Wranglers & News Navigators - Taming GPT-3 Beast for Media Monitoring
Explore the integration of Large Language Models in media monitoring, from using OpenAI models to training a custom model. Learn about real-world implementation challenges and insights.
Kick-Start Your Understanding of Machine Learning with Python
Practical guide to building ML applications in Python, focusing on text classification using unsupervised and supervised learning techniques with visualization and deep learning examples.
Boost Your App with Machine Learning APIs
Discover how to enhance your app using pre-trained Machine Learning APIs for text, image, audio, and video analysis, with a live interactive demo showcasing practical applications.
Neural Networks by Example
Explore neural networks' principles, applications, and real-life examples using MNIST dataset. Learn about convolutional networks and their use in image recognition and self-driving cars.
Easier AI Allows Everyone to Build Smart Apps
Discover how to leverage Microsoft's Cognitive Services to build smart apps with AI capabilities, including computer vision, language understanding, and speech recognition.
Topic Modeling with LeetTopic - Transformer Topic Modeling and Bokeh App Generation
Learn to implement transformer-based topic modeling using LeetTopic and create interactive Bokeh visualizations for text analysis in Python.
Coreference Resolution with spaCy and spaCy-Experimental
Master coreference resolution in Python using spaCy-Experimental - implement advanced natural language processing techniques to track and link entity mentions across text.