DeepAI AI Chat
Log In Sign Up

Cross-Discourse and Multilingual Exploration of Textual Corpora with the DualNeighbors Algorithm

06/28/2018
by   Taylor Arnold, et al.
University of Richmond
0

Word choice is dependent on the cultural context of writers and their subjects. Different words are used to describe similar actions, objects, and features based on factors such as class, race, gender, geography and political affinity. Exploratory techniques based on locating and counting words may, therefore, lead to conclusions that reinforce culturally inflected boundaries. We offer a new method, the DualNeighbors algorithm, for linking thematically similar documents both within and across discursive and linguistic barriers to reveal cross-cultural connections. Qualitative and quantitative evaluations of this technique are shown as applied to two cultural datasets of interest to researchers across the humanities and social sciences. An open-source implementation of the DualNeighbors algorithm is provided to assist in its application.

READ FULL TEXT
08/16/2022

American cultural regions mapped through the lexical analysis of social media

Cultural areas represent a useful concept that cross-fertilizes diverse ...
05/24/2018

When Cultures Meet: Modelling Cross-Cultural Knowledge Spaces

Cross cultural research projects are becoming a norm in our global world...
03/22/2018

A framework for Culture-aware Robots based on Fuzzy Logic

Cultural adaptation, i.e., the matching of a robot's behaviours to the c...
03/08/2017

A World of Difference: Divergent Word Interpretations among People

Divergent word usages reflect differences among people. In this paper, w...
05/26/2021

Deception detection in text and its relation to the cultural dimension of individualism/collectivism

Deception detection is a task with many applications both in direct phys...
09/01/2022

KoCHET: a Korean Cultural Heritage corpus for Entity-related Tasks

As digitized traditional cultural heritage documents have rapidly increa...