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Analysis of Causal Topics in Text Data and Time Series with Applications to Presidential Prediction

Analysis of Causal Topics in Text Data and Time Series with Applications to Presidential Prediction

by mentegor

. Hyun . Duk. Kim, . ChengXiang. (“Cheng”) ....

Linking Debates to Topics

Linking Debates to Topics

by kittie-lecroy

AQA . b unit 4. Aim – be able to discuss at lea...

Consensus Relevance with Topic and Worker Conditional Model

Consensus Relevance with Topic and Worker Conditional Model

by phoebe-click

Paul N. Bennett, Microsoft Research. Joint with. ...

Text Mining and Topic Modeling

Text Mining and Topic Modeling

by briana-ranney

Padhraic Smyth. Department of Computer Science. U...

Consensus Relevance with Topic and Worker Conditional Model

Consensus Relevance with Topic and Worker Conditional Model

by tawny-fly

Paul N. Bennett, Microsoft Research. Joint with. ...

LIMUN Masterclass ORGANISING AN MUN SOCIETY: MEETINGS, TOPICS AND MATERIAL

LIMUN Masterclass ORGANISING AN MUN SOCIETY: MEETINGS, TOPICS AND MATERIAL

by natalia-silvester

AFOLABI ADEKAIYAOJA. Overview. Basics. Recruitmen...

COMS6998 Topics in Human Language Technology (HLT)

COMS6998 Topics in Human Language Technology (HLT)

by olivia-moreira

. Kenneth Church. Kenneth.Ward.Church@gmail.com...

by pamella-moone

Note: Links will. only . work in PowerPoint’s...

Module 4.1: Analyzing Textual Data

Module 4.1: Analyzing Textual Data

by delcy

Using Off-the-Shelf Tools. In this module we’ll....

Latent Tree Models Part IV: Applications

Latent Tree Models Part IV: Applications

by Gunsmoke

Nevin. L. Zhang. Dept. of Computer Science & ...

Related Books of Interest

Related Books of Interest

by alis

Bond, See, Wong, ChanISBN: 0-13-134590-7DB2 9 for ...

Incorporating Coherence of Topics as a Criterion in Automatic Response-to-Text Assessment of the Or

Incorporating Coherence of Topics as a Criterion in Automatic Response-to-Text Assessment of the Or

by elitered

Zahra . Rahimi. Diane . Litman. ...

Let’s Talk: Round Tables

Let’s Talk: Round Tables

by trish-goza

Joseph Wurcher. AU Program Manager. Robert Green ...

Visualization tool depicting

Visualization tool depicting

by trish-goza

t. opical analysis on presidential. documents. By...

by karlyn-bohler

By: Jovian Lin. Discover Emerging and Novel Resea...

Lecture 16: Unsupervised Learning

Lecture 16: Unsupervised Learning

by test

from Text. Padhraic Smyth. Department of Computer...

by cheryl-pisano

models. Thomas R. Bruce / Sara . Frug. Legal Info...

Improving learning through effective revision

Improving learning through effective revision

by pasty-toler

https://. www.wku.edu/senate/documents/improving_...

Introduction to Biomedical Informatics

Introduction to Biomedical Informatics

by marina-yarberry

Text Mining. . . . Outline. Introduction and...

Practice SAC topics

Practice SAC topics

by karlyn-bohler

“Assure me that I may yet change these shadows ...

Let’s Talk: Round Tables

Let’s Talk: Round Tables

by alexa-scheidler

Joseph Wurcher. AU Program Manager. Robert Green ...

The IBP Compound

The IBP Compound

by olivia-moreira

Dirichlet. . Process and . its Application to Fo...

by liane-varnes

How do we Innovate in Higher Education?. Wednesda...

by celsa-spraggs

modelling. to visualization of . topic relations...

Hidden Topic Sentiment Model

Hidden Topic Sentiment Model

by danika-pritchard

Md. . Mustafizur. . Rahman. and . Hongning. W...

Entity- & Topic-Based

Entity- & Topic-Based

by pamella-moone

Information Ordering. Ling 573. Systems and Appli...

Multi-topic based Query-oriented Summarization

Multi-topic based Query-oriented Summarization

by celsa-spraggs

Jie Tang. *. , Limin Yao. #. , and Dewei Chen. *....

Title: The Author-Topic Model for Authors and Documents

Title: The Author-Topic Model for Authors and Documents

by ellena-manuel

Authors: Rosen-. Zvi. , Griffiths, . Steyvers. ,...

Modeling and Detecting Anomalous Topic Access

Modeling and Detecting Anomalous Topic Access

by yoshiko-marsland

Siddharth Gupta. 1. , Casey Hanson. 2. , Carl A G...

Joint Sentiment/Topic Model for Sentiment Analysis

Joint Sentiment/Topic Model for Sentiment Analysis

by tatyana-admore

Chenghua. Lin . & . Yulan. He. CIKM09. Main...

Empirical Study of Topic Modeling in Twitter

Empirical Study of Topic Modeling in Twitter

by lois-ondreau

Liangjie Hong. and Brian D. Davison. Computer Sc...

by sherrill-nordquist

Source: “Topic models”, David . Blei. , MLS...

by maisie

SiskiyousWRITING LABINTRODUCTIONAn outline is a ge...

by sialoquentburberry

DITA Map Definition and Purpose. Power of DITA Map...

Hybrid Summarization of Dakota

Hybrid Summarization of Dakota

by jane-oiler

Access Pipeline Protests (NoDAPL). CS 5984/4984 B...

Geographical Latent Variable Models for Microblog Retrieval

Geographical Latent Variable Models for Microblog Retrieval

by marina-yarberry

Alexander Kotov. 1,2. . Vineeth. . Rakesh. 2. ...

Compare and Contrast Rhetorical Analysis

Compare and Contrast Rhetorical Analysis

by cheryl-pisano

AP English Language. Developing your Point by Poi...

Student Orientation to ALEKS Higher Ed

Student Orientation to ALEKS Higher Ed

by stefany-barnette

Agenda. What is ALEKS?. Getting Started. Learning...

Measuring User Influence in Twitter: The Million Follower F

Measuring User Influence in Twitter: The Million Follower F

by jane-oiler

Meeyoung . Cha Hamed Haddadi ...

A Tool to Assist Postgraduate Research Students and their S

A Tool to Assist Postgraduate Research Students and their S

by aaron

Andrew Rosser. 1. Studies examining the factors t...