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Understanding Public Opinion Through White House Press Briefings: An Application of Natural Language Processing and Unsupervised Clustering Learning Methods

Keyword:

Unsupervised machine learning, Part of speech tagging, Press briefing, Doc2Vec, Public opinion, Text vectorization, Natural language processing, Sentiment analysis, Politics, spaCy, Psaki, White House, k-means clustering, Spectral biclustering, VADER, Lemmatization, Presidential job approval rating, and Biden

Creator:

Wing Shan Chan

Owner:

Wing Chan

Date Uploaded:

06/15/2022

Date Modified:

06/15/2022
Computational Approaches to Detection of Narrative Frames in News

Description:

Citizen media literacy is essential in a democratic society, particularly in the online environment where valid media sources have proliferated alongside purveyors of fake news. This dissertation explores technologies that automatically detect aspects of bias in news articles, with the ultimate aim of leveraging them to augment media literacy. It...

Keyword:

Media literacy, Artificial intelligence, Media bias, Natural language processing, Computational journalism, and Framing

Subject:

Journalism, Computer science, and Communication

Creator:

Boon, Miriam

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

02/12/2020

Date Created:

2019-01-01

Resource Type:

Dissertation

Alternate Identifier:

etdadmin_upload_686483 and http://dissertations.umi.com/northwestern:14845