Retrieving Complex Answers through Knowledge Graph and Text
Explore algorithms for retrieving complex answers by combining knowledge graphs and text. Learn techniques to identify relevant entities, relations, and explanatory passages for comprehensive query responses.
Retrieving Complex Answers through Knowledge Graph and Text
Explore techniques for retrieving complex answers by combining knowledge graphs and text. Learn about algorithms that identify relevant entities, relations, and supporting passages for comprehensive query responses.
Knowledge-infused Learning - Dissertation Defense
Explore knowledge-infused learning techniques and their applications in AI through Manas Gaur's dissertation defense presentation.
Singular Value Decomposition with R - Introduction to Text Analytics with R Part 8
Learn to perform truncated SVD, project TF-IDF vectors into semantic space, compare decision tree and random forest models, and explore random forest tuning using R packages like irlba and caret for text analytics.
Improving RAG Pipelines with Contextual Information Retrieval
Master advanced RAG techniques by exploring hybrid approaches combining semantic embeddings with TF-IDF and BM25, plus learn about Anthropic's Contextual Retrieval method for enhanced performance.
From Documents to Vectors: Understanding ChatGPT's Technical Architecture with OpenAI Plugins
Dive into the technical architecture of ChatGPT plugins, exploring vector databases, API endpoints, and real-time data retrieval methods for enhanced AI capabilities.
Topic Modeling with R and Tidy Data Principles
Explore topic modeling in R using tidytext and stm packages, applied to Sherlock Holmes stories. Learn data preparation, text tidying, and model implementation techniques.
Vector-Based Methods for Similarity Search - TF-IDF, BM25, SBERT
Explore three vector-based approaches for language comparison and document similarity: TF-IDF, BM25, and Sentence-BERT. Learn key techniques for building effective search engines in AI and machine learning.
PhD Students Overview - Part 2 - Lecture 3
Explore the research contributions of Dr. Sheth's past Ph.D. students in this comprehensive overview of their work and achievements.
Introduction to Arabic Natural Language Processing - Part 1
Explore Arabic NLP fundamentals, covering linguistic challenges and computational approaches for processing the Arabic language.
Applying AI to Analyze Public Voices for Advancing Sustainable Development Goals
Explore AI applications for analyzing public voices to advance Sustainable Development Goals, focusing on innovative approaches and potential impacts.
Needles, Haystacks and Algorithms - Using Machine Learning to Detect Complex Threats at DefCamp - 2018
Explore machine learning techniques for detecting complex threats in cybersecurity, focusing on APTs, technical controls, and innovative solutions using algorithms and data analysis.
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.
Building a Naive Bayes Text Classifier with scikit-learn
Learn to build a Naive Bayes text classifier using scikit-learn, exploring preprocessing techniques and feature extraction methods for effective spam detection in YouTube comments.
Private Data Anonymization with Python - Fundamentals
Explore techniques for anonymizing legal documents using Python, including entity recognition, masking, and pseudoanonymization. Learn to apply AI models and text mining for improved data privacy compliance.
Text Mining & Sentiment Analysis Made Easy
Learn to analyze text data using Azure Cognitive Services and Power BI. Extract key phrases, derive sentiment scores, and create effective visual dashboards without needing advanced data science skills.
Thinking of Topic Modeling as Search in Real-time Applications
Explore how treating topic modeling as a search problem can enhance real-time applications and overcome common challenges in document classification and clustering.
Political Barometer: Public Opinion Mining Using Tweets
Explore advanced techniques for mining public opinion from Twitter data to analyze political sentiment and create accurate political barometers in the digital age.
Demystifying Data Curation for Pretrained Language Models
Dive into effective data curation techniques for language models, exploring key strategies and best practices for optimizing pretrained model performance through quality dataset preparation.
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.
Populating and Leveraging Semantic Knowledge Graphs to Supercharge Search
Populate and leverage semantic knowledge graphs to enhance search capabilities, enabling concept-based queries, query expansion, and improved long-tail query matching for reduced zero-result searches.