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    Oct 02, 2019 · From 2007 through 2016, CWP has been the underlying or contributing cause of death for 4,118 miners and a total of 75,178 miners from 1970 through 2016. More than $46.936 billion dollars in federal compensation has been paid to miners and their families from 1971 through 2018 for claims filed under the Black Lung Benefits Act.. Silicosis is not tracked as regularly or thoroughly as CWP but ...

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    Mar 10, 2011 · Text mining and topic models Charles Elkan [email protected] February 12, 2014 Text mining means the application of learning algorithms to documents con-sisting of words and sentences. Text mining tasks include classifier learning clustering, and theme identification. Classifiers for documents are useful for many applications. Major uses for ...

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    A Simple Introduction to Topic Modeling in Python

    May 16, 2019 · A good topic model will identify similar words and put them under one group or topic. The most dominant topic in the above example is Topic 2, which indicates that this piece of text is primarily about fake videos. Intrigued, yet? Good! In this article, we will learn about a text mining approach called Topic .

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    2.6 Topic Mining and Analysis: Term as Topic - Week 2 ...

    [MUSIC] This lecture is about topic mining and analysis. We're going to talk about using a term as topic. This is a slide that you have seen in a earlier lecture where we define the task of topic mining and analysis. We also raised the question, how do we exactly define the topic of theta?

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    CDC - Mining Topic - Respiratory Diseases - NIOSH

    Oct 02, 2019 · From 2007 through 2016, CWP has been the underlying or contributing cause of death for 4,118 miners and a total of 75,178 miners from 1970 through 2016. More than $46.936 billion dollars in federal compensation has been paid to miners and their families from 1971 through 2018 for claims filed under the Black Lung Benefits Act.. Silicosis is not tracked as regularly or thoroughly as CWP but ...

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    6 Topic modeling. In text mining, we often have collections of documents, such as blog posts or news articles, that we'd like to divide into natural groups so that we can understand them separately. Topic modeling is a method for unsupervised classification of such documents, similar to clustering on numeric data, which finds natural groups ...

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    Text Mining 101: Topic Modeling - KDnuggets

    The LDA model discovers the different topics that the documents represent and how much of each topic is present in a document. For example, LDA may produce the following results: Topic 1: 30% peanuts, 15% almonds, 10% breakfast. (you can interpret that this topic deals with food) Topic 2: 20% dogs, 10% cats, 5% peanuts. ( you can interpret that this topic deals with pets or animals)

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    CDC - Mining Topics - NIOSH

    Oct 02, 2019 · Mining Topics Mining topics are areas where NIOSH has formerly been or is currently engaged in performing research and producing publications. Click on a topic to explore an overview, or click on the symbol next to a topic to expand or collapse .

    CDC - Mining Topic - Respiratory DiseasesOct 02, 2019
    CDC - Mining - NIOSH Mine Safety and Health Technology ...Jun 04, 2019
    CDC - Mining - Data & Statistics - NIOSHApr 05, 2019
    CDC - Mining Topic - Rock DustingDec 07, 2017
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