Computational text analysis: Thoughts on the contingencies of an evolving method
Computational text analysis: Thoughts on the contingencies of an evolving method
复制标题
计算文本分析：对不断发展的方法的偶发事件的思考
作者：
Daniel Marciniak
使用计算文本分析工具绘制公共话语在语料库管理，数据处理和分析以及可视化领域有许多偶然性。然而，算法组装的复杂性和产生的图像的美丽给人以“客观”的印象。与其为了讲述一个连贯和包罗万象的故事而隐藏不确定性和人工制品，保留各种替代组件实际上可能会加强该方法。通过利用数字设备的移动性，我们可以创建可变的移动设备，允许访问我们的实验室，并实现具有挑战性的重新安排和解释。
Mapping a public discourse with the tools of computational text analysis comes with many contingencies in the areas of corpus curation, data processing and analysis, and visualisation. However, the complexity of algorithmic assemblies and the beauty of resulting images give the impression of ‘objectivity’. Instead of concealing uncertainties and artefacts in order to tell a coherent and all-encompassing story, retaining the variety of alternative assemblies may actually strengthen the method. By utilising the mobility of digital devices, we could create mutable mobiles that allow access to our laboratories and enable challenging rearrangements and interpretations.