Grounded Theory and Topic Modelling- Extreme Divergence or Unlikely Convergence - Dr David Mimno
Exploring the intersection of grounded theory and topic modeling in text analysis, examining potential divergences and convergences between these methodologies for studying social and cultural phenomena.
The Digital Hearth: An Automated Group Speech-to-Text System for Community Conversations
Explore an innovative group conversation recording device designed to capture and analyze community discussions, featuring offline operation and advanced speech recognition capabilities.
Machine Learning Toolbox for Cybersecurity Risk Management
Explore machine learning techniques for cybersecurity risk assessment, including topic modeling, word embedding, and PCA. Learn to identify unknown risks and profile incidents effectively.
Applying Computational Analysis to Textual Data from the Wild - A Feminist Perspective
Explore feminist perspectives on computational analysis of textual data, focusing on topic modeling for interpreting diverse experiences of place in breastfeeding reviews.
Are Anonymity-Seekers Just like Everybody Else? An Analysis of Contributions to Wikipedia from Tor
Análisis de contribuciones anónimas a Wikipedia a través de Tor, comparando calidad y patrones con otros tipos de usuarios para evaluar el impacto de bloquear proxies de privacidad.
When People and Algorithms Meet - User-Reported Problems in Intelligent Everyday Applications
Análisis de problemas reportados por usuarios en aplicaciones inteligentes cotidianas, revelando desafíos en contenido, algoritmos, elección del usuario y retroalimentación, con implicaciones para el diseño de sistemas de apoyo.
Training Latent Dirichlet Allocation: Gibbs Sampling - Part 2
Explore Gibbs sampling for training Latent Dirichlet Allocation models, learning to sort documents into topics efficiently through practical exercises and in-depth explanations.
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.
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.
Contact Center 상담 업무 효율화를 위한 실시간 답변 추천
Discover how SK's AI Contact Center solution enhances customer service efficiency through real-time question extraction and answer recommendation systems using advanced NLP technology.
Applications of AI in News and Media - Text Summarization, Topic Modeling, and Style Transfer
Explore how large language models revolutionize news and media through text summarization, topic modeling, and style transfer, while addressing key limitations and bias concerns.
Topic Modelling for Text Documents Using NLP Techniques
Explore NLP techniques for topic modeling in text documents, covering entity identification, document similarity, data cleaning, and clustering methods.
BuzzWords - How Bumble Does Multilingual Topic Modelling at Scale
Explore Bumble's innovative GPU-powered solution for multilingual topic modeling, enabling faster analysis of millions of data points using BERT-based models.
GenAI-Powered Media Dynamics: Leveraging LLMs for Personalized Content Engagement
Explore Fox's innovative use of custom LLMs for personalized media content, including video transcription insights, semantic search, and curated recommendations, revolutionizing digital engagement.
TxtAI - Simplifying RAG and Semantic Search with an All-in-One Embeddings Database
Explore TxtAI: all-in-one solution for semantic search, LLM orchestration, and language model workflows. Learn embeddings, indexing, and advanced text processing techniques.
Identification of Customer Behavioral Attributes through Topic Modelling
Explore customer behavior analysis using topic modeling on retail basket data. Learn to identify shopping patterns and tag customers based on their purchasing habits.
Maximizing Engagement Through Privacy-Preserving Content Recommendations
Explore innovative approaches to recommendation systems that maximize engagement while preserving user privacy, using reinforcement learning and semantic analysis techniques.
Using Generative AI to Better Understand B2B Audiences - From Topic Modelling to Text Classification
Explore how Generative AI and LLMs enhance B2B audience understanding through topic modeling and text classification, improving data quality and audience interest analysis.
Discovering Pattern and Structure in Cultural Traces: Death and Dreams in Low Dimensions
Explore data-efficient methods for analyzing large corpora using word embeddings and sparse dictionary learning. Discover patterns in violent death reports and dream narratives through innovative topic modeling techniques.
A View in Old and New Machine Learning
Explore old and new machine learning approaches, comparing hierarchical probabilistic models with deep neural networks and examining their unique capabilities and potential combinations.