Once More, With Feeling: Using Sentiment Analysis to Improve Models of Relationships Between Non-State Actors (doi:10.7910/DVN/ADTDEC)

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Document Description

Citation

Title:

Once More, With Feeling: Using Sentiment Analysis to Improve Models of Relationships Between Non-State Actors

Identification Number:

doi:10.7910/DVN/ADTDEC

Distributor:

Harvard Dataverse

Date of Distribution:

2019-12-18

Version:

1

Bibliographic Citation:

Kevin Greene; Lucas, Caleb, 2019, "Once More, With Feeling: Using Sentiment Analysis to Improve Models of Relationships Between Non-State Actors", https://doi.org/10.7910/DVN/ADTDEC, Harvard Dataverse, V1

Study Description

Citation

Title:

Once More, With Feeling: Using Sentiment Analysis to Improve Models of Relationships Between Non-State Actors

Identification Number:

doi:10.7910/DVN/ADTDEC

Authoring Entity:

Kevin Greene (University of Pittsburgh)

Lucas, Caleb (Michigan State University)

Distributor:

Harvard Dataverse

Access Authority:

Interactions, International

Depositor:

Interactions, International

Date of Deposit:

2019-09-15

Holdings Information:

https://doi.org/10.7910/DVN/ADTDEC

Study Scope

Keywords:

Social Sciences, Civil war, Methodology, Terrorism, Conflict

Abstract:

We collect an original corpus of official documents released by Hezbollah and use text analysis to create a measure of their relationships with other non-state groups. Despite recent research that demonstrates these types of relationships affect the length and severity of conflict, data limitations hinder efforts by researchers to capture important variation in them over time. Our approach uses fine-grained text data to capture dynamic trends in these relationships. We demonstrate its effectiveness by showing our model is able to reproduce qualitative accounts of Hezbollah's known alliances and rivalries with other non-state actors with greater accuracy and precision than existing measures. We also compare the approach with event data and demonstrate its ability to provide more granular and complementary information. With further exploration, this technique could assist researchers in improving and developing measures of intrastate cooperation and competition for use in empirical analyses.

Methodology and Processing

Sources Statement

Data Access

Notes:

<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a>

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