AI Scholar: Computational Text Analysis — Analyzing Text as Social and Cultural Data
Providing Best Practices for Working with Thick Social and Cultural Concepts
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Whether we realize it or not, practically all researchers and scientists today employ complex algorithms to access digital texts. Besides, every Google search for a specific article relies on search functions that involve reading through massive digital texts to sort and display results that will best fit the entered search parameters.
The same case goes for computational text analysis. Researchers are increasingly enlisting computer-driven textual analysis to help their research for natural language processing and social science approaches.
How we Do Things with Words
Can text analysis provide a new perspective on a big ‘radical question’ that has been attracting interest for years?
While human readers are better equipped to make logical inferences, resolve ambiguities, and apply cultural knowledge more than machines, they are limited in time and attention.
This recently released research work describes recent experiences with computational text analysis. The paper sheds light on thorny issues that are not always at the forefront of computational text analysis discussions and methods. Additionally, the work provides a set of best practices for working with thick social and cultural concepts.
Potential Uses and Effects
Computational text analysis is paving new possibilities for exploring challenging questions for some of the most pressing contemporary cultural and social issues.
Although the work is based on the researchers own experiences and innately imperfect, it provides a diversity of disciplinary backgrounds and research practices that can help promote interdisciplinary collaborations. Such interdisciplinary insights and partnerships are crucial to help realize the full potential of any computational text analysis that involves social and cultural concepts.
The work can help researchers see and explore subtle patterns about culture and society more clearly and broadly.
Read more: https://arxiv.org/abs/1907.01468v1
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