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14.0 Linguistic Processing and Latent Topic Analysis

14.0 Linguistic Processing and Latent Topic Analysis

14.0 Linguistic Processing and Latent Topic Analysis. Latent Semantic Analysis (LSA ). T k. Topic. Words. Documents. d 1 d 2 ........ d j .......... d N. w 1 w 2 w i w M. w ij. Latent Semantic Analysis (LSA) - Word-Document Matrix Representation.

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514 views • 29 slides
LDA-based Dark Web Analysis

LDA-based Dark Web Analysis

LDA-based Dark Web Analysis. Outline. What is Dark Web? Why do we need to analyze it? How to analyze Dark Web: Our Strategy Web Crawling Topic Discovery based on Latent Dirichlet Allocation (LDA) Optimization Process Conclusion. What is Dark Web?.

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438 views • 20 slides
Twitterpedia

Twitterpedia

Twitterpedia. Visualization Lab By: Thomas Kraft. Overview. Current State. Future. Problem. What is being talked about and where? Twitter has massive amounts of data Tweets are unstructured Goal: Quickly identify current events / topics on a large scale. Overview. Current State.

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227 views • 13 slides
Inferring User Interest Familiarity and Topic Similarity with Social Neighbors in Facebook

Inferring User Interest Familiarity and Topic Similarity with Social Neighbors in Facebook

Inferring User Interest Familiarity and Topic Similarity with Social Neighbors in Facebook. Department of Computer Science, KAIST Dabi Ahn, Taehun Kim, Soon J. Hyun, Dongman Lee. IEEE 2012 Web Intelligence and Intelligent Agent Technology. System Workflow.

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210 views • 11 slides
Searching with Lucene

Searching with Lucene

Searching with Lucene. Chapter 2. For discussion. Information retrieval What is Lucene? Code for indexer using Lucene Pagerank algorithm. Information Retrieval. Consider a collection of documents You want to know what words are in each of the documents

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69 views • 6 slides

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