Granular Viewer of Sentiments Between Entities in Massively Large Documents and Collections of Texts, powered by AREkit
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Updated
Nov 23, 2024 - Python
Granular Viewer of Sentiments Between Entities in Massively Large Documents and Collections of Texts, powered by AREkit
A replication of Horvat and Evans (2011) as part of SCORE
This dataset takes litter activity from 2016 in two counties in Washington State, King and Grant to compare and also compares voter turnout to correlate attitudes in voting turnout and littering behavior, as well as voting records by political party. The intended audience is researchers in public policy and or public health.
Franetovic, G., & Bertero, A. (2023). How do people understand inequality in Chile? A study of attitudes through network analysis. AWARI, 4.
This repository contains code needed to replicate the master thesis study, "Refugees Welcome? A comparative sentiment analysis of tweets in Germany surrounding inflows of Syrians and Ukrainians", by Andrea Cass
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