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Model Perspective
Model Perspective
Mar 21, 2023 · Artificial Intelligence

Master Linear Discriminant Analysis (LDA) with Python: Theory & Code

This article explains Linear Discriminant Analysis (LDA) as a pattern‑recognition technique that projects data onto a low‑dimensional space to maximize class separation, details its mathematical formulation with between‑class and within‑class scatter matrices, and provides a complete Python implementation using scikit‑learn on the Iris dataset, including visualization of the results.

LDALinear Discriminant AnalysisPython
0 likes · 6 min read
Master Linear Discriminant Analysis (LDA) with Python: Theory & Code
JD Tech Talk
JD Tech Talk
Apr 19, 2019 · Artificial Intelligence

Fundamentals and Practical Applications of Text Mining: Workflow, Methods, and a Sentiment Analysis Case Study

This article outlines the end‑to‑end text‑mining workflow—from data acquisition and preprocessing to feature extraction, algorithm selection, and model evaluation—while demonstrating a sentiment‑analysis case study that combines LDA topic modeling with deep‑learning classifiers.

Deep LearningLDASentiment Analysis
0 likes · 11 min read
Fundamentals and Practical Applications of Text Mining: Workflow, Methods, and a Sentiment Analysis Case Study
Hulu Beijing
Hulu Beijing
Jan 11, 2018 · Artificial Intelligence

Topic Modeling Explained: pLSA, LDA, and How to Pick the Right Number of Topics

This article introduces the fundamentals of topic modeling, compares the probabilistic latent semantic analysis (pLSA) and latent Dirichlet allocation (LDA) methods, explains their graphical models and inference via EM or Gibbs sampling, and discusses practical strategies for selecting the optimal number of topics using perplexity or hierarchical Dirichlet processes.

LDAPerplexitypLSA
0 likes · 10 min read
Topic Modeling Explained: pLSA, LDA, and How to Pick the Right Number of Topics
21CTO
21CTO
Mar 4, 2016 · Artificial Intelligence

How Do We Analyze Influence and Spam on Sina Weibo? Algorithms Explained

This article introduces a range of algorithms for Sina Weibo—including tag propagation, user similarity via LDA, time‑aware weighting, community detection, PageRank‑based influence ranking, and spam user identification—to illustrate how social network analysis can uncover user interests, influence, and malicious behavior.

LDAPageRankSocial network
0 likes · 17 min read
How Do We Analyze Influence and Spam on Sina Weibo? Algorithms Explained
21CTO
21CTO
Sep 19, 2015 · Artificial Intelligence

Why Distributed Machine Learning Needs More Data Than Speed

The article explains how distributed machine learning evolved from parallel computing to handle massive, long‑tail data sets, discusses the importance of scalability, fault recovery, and data‑parallel algorithms, and reviews frameworks such as MPI, MapReduce, and Pregel for building large‑scale AI systems.

Big DataData ParallelismLDA
0 likes · 24 min read
Why Distributed Machine Learning Needs More Data Than Speed
21CTO
21CTO
Sep 1, 2015 · Artificial Intelligence

How the NYT Revamped Its Recommendation Engine with Collaborative Topic Modeling

This article explains how the New York Times redesigned its "Recommended for You" system by combining content‑based filtering, collaborative filtering, and a collaborative topic‑modeling approach that uses LDA, reader‑signal adjustments, and fast preference calculations to deliver personalized article suggestions.

LDARecommendation Systemscollaborative filtering
0 likes · 12 min read
How the NYT Revamped Its Recommendation Engine with Collaborative Topic Modeling
Architect
Architect
May 22, 2015 · Big Data

Weibo Social Network Analysis: Label Propagation, Similarity Measures, Community Detection, Influence Ranking and Spam User Identification

The article presents a comprehensive overview of algorithms for analyzing Weibo’s social network, covering label propagation, user similarity via LDA, temporal and interaction factors, community detection, influence ranking using PageRank variants, and methods for identifying spam accounts.

LDASocial Network Analysiscommunity-detection
0 likes · 16 min read
Weibo Social Network Analysis: Label Propagation, Similarity Measures, Community Detection, Influence Ranking and Spam User Identification