Senior Project Advisor

Ed Love

Document Type

Project

Publication Date

Spring 2023

Keywords

sentiment analysis, cable news, linguistic analysis

Abstract

This project aims to provide a tool for sentiment and linguistic analysis of news content. Specifically, the intended purpose of this research is to assess the variability of language use across cable news. In order to accomplish this, a Python script was written that allows the researcher to produce a specific set of sentiment/linguistic analysis output as well as statistical analysis of that output. While the code is written specifically to analyze cable news transcripts, it can be modified to perform the same analysis on any text of interest, news or otherwise. The output of this code allows the researcher to further explore the variability in linguistic use across multiple sources.

(Supplementary materials are available in the files below.)

Department

Finance and Marketing

Type

Text

Rights

Copying of this document in whole or in part is allowable only for scholarly purposes. It is understood, however, that any copying or publication of this document for commercial purposes, or for financial gain, shall not be allowed without the author’s written permission.

Language

English

Format

application/pdf

Bannister input file.CSV (6 kB)
Input file

Bannister script.IPYNB (33 kB)
Script

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