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Text Data Management and Analysis

This class was created by Brainscape user JESSIE J. Q. Visit their profile to learn more about the creator.

By: JESSIE J. Q
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Decks in this class (8)

Chapter 1 Introduction
Why textual information is important,
Text mining includes two parts,
Text retrieval
10  cards
Chapter 2 Background
Basics of probability and statist...,
All the outcomes are equally like...,
If a and b are independent the pr...
15  cards
Conditional Probability
Conditional probability the notat...,
Bayes rule,
Iid
3  cards
Chapter 2_2 Information Theory
Information theory,
Entropy,
H x 0h x 1
6  cards
Chp5 Overview of Text Data Access
The general goal of data access,
Data access approachpullpush,
Multimode interactive access
4  cards
Chapter 6 Retrieval Model
Two main information retrieval mode,
4 major retrieval models,
Common form of a retrieval function
9  cards
Chapter 12 Overview of Text Data Analysis
The goal of text data analysis,
Why need text data analysis,
Datascope
3  cards
Chapter 13 Word Associating Mining
Paradigmatic relation,
Syntagmatic relation,
In general there are two type of ...
8  cards

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Text Data Management and Analysis

  • Class purpose General learning

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