Sentiment Dynamics in Financial Markets
Explore sentiment dynamics in financial markets, analyzing their impact on market behavior and investor decision-making through advanced modeling techniques.
Power Data Analytics with Generative AI Using BigQuery and Gemini
Leverage BigQuery's ML capabilities and Gemini AI for advanced data analytics, sentiment analysis, and entity extraction.
Next-Generation Data Analytics with BigQuery and PaLM
Explore advanced data analytics using BigQuery's ML capabilities and Vertex AI's large language models for sentiment analysis, entity extraction, and more.
Microsoft ML.NET Framework: Sentiment Analysis Application in C#
Explore sentiment analysis using ML.NET in C#. Learn to develop applications that analyze text sentiment with Microsoft's machine learning framework.
The Data Lakehouse for Streaming Data - A Talk for Everyone Who Loves Data
Explore data lakehouses: combining data lakes and warehouses for reliable, flexible data management. Learn about open-source projects, streaming data support, and see a live Twitter sentiment analysis demo.
Hybrid Quantum-Classical Machine Learning using Qiskit
Explore hybrid quantum-classical machine learning with Qiskit for text classification and sentiment analysis, combining quantum circuits and classical models.
Does Spam Have an Opinion
Explore sentiment analysis of spam messages using cloud computing and machine learning, with a humorous twist involving llama photos.
The Prompt Report: Understanding Prompting Techniques and Taxonomy - Part 1
Explore systematic prompting techniques through an in-depth analysis of template structures, zero-shot methods, emotion prompting, and thought generation approaches for enhanced AI interactions.
Hedonometry and Big Data Applications in Text Analysis
Discover how hedonometers analyze sentiment in big data, exploring real-world applications like measuring emotional content in Michael Jackson's lyrics through data science techniques.
Development of Machine Learning Methods to Improve ESG Scores and Responsible Investment Decisions - Part 1
Explore machine learning methods for improving ESG scores and responsible investment decisions. Learn to extract and analyze ESG information from company disclosures using NLP techniques.
Building Sentiment Analysis with Kafka and AI/ML
Explore sentiment analysis using Kafka and AI/ML with Red Hat technologies through an interactive demo of a retail customer use case.
Sentiment Analysis Use Case - DevNation Day India 2023
Explore sentiment analysis techniques and applications in this insightful tech marketing presentation from DevNation Day India '23.
Let's Talk About Raw Documents - Extracting Structured Data for ML Pipelines
Explore raw document processing for ML pipelines with Unstructured.io's open-source tools. Learn to extract structured data, build custom preprocessing APIs, and integrate with popular ML frameworks.
ML and MLOps with Databricks: LLMs and HuggingFace Transformers
Explore LLMs using HuggingFace Transformers for summarization, translation, sentiment analysis, and advanced prompting techniques on Databricks.
Knative and Kafka - The Superheroes in Event-Driven Architecture
Explore event-driven architectures with Knative Eventing and Apache Kafka. Learn key concepts and see a live demo of a customer review moderation pipeline with AI/ML integration.
Hybrid Quantum-Classical Machine Learning using Qiskit
Explore hybrid quantum-classical machine learning with Qiskit for text classification and sentiment analysis, combining quantum circuits and classical models.
Building an Exciting Stock Market Twitter Sentiment App
Develop a Twitter sentiment analysis app for stock market insights using SingleStore AI. Learn to integrate APIs, process real-time data, and create interactive visualizations.
Does Spam Have an Opinion? Using Machine Learning to Understand Your Spam
Explore sentiment analysis of spam messages using machine learning and cloud computing, with a humorous twist involving llama photos.
Realtime Socket Streaming with Apache Spark - End-to-End Data Engineering Project
Build a real-time data streaming pipeline using TCP/IP Socket, Apache Spark, OpenAI LLM, Kafka, and Elasticsearch. Process 7 million records for sentiment analysis and efficient data indexing.
CS 201: Introduction to Natural Language Processing - Lecture 11/17/2022
Explore natural language processing with Dan Jurafsky in this UCLA Computer Science lecture, covering key concepts and applications in computational linguistics.
Fine-tuning Llama 3.2 for Mental Health Sentiment Analysis Using TorchTune
Master fine-tuning techniques for Llama 3.2 using torchtune, focusing on sentiment analysis for mental health data with practical implementation steps on a single GPU.