Using free open-source tools for text visualisation over unstructured corpus effectively

Gowri R. Choudhary and Iti Sharma

International Journal of Data Analysis Techniques and Strategies, 2023, vol. 15, issue 1/2, 129-146

Abstract: Text visualisation is an essential analytical task in many applications. Researchers from such fields can utilise the graphical output but need tools for its generation due to lack of expertise. Though several open-source tools are available, there is a challenge in choosing a suitable tool and preparing a compatible input because the corpora are often self-collected and unstructured. This paper describes ten popular open-source text visualisation tools for word-clouds. It is observed here that these tools take only a single text file as input while unstructured corpora have multiple-file format. So further in this paper a priority window technique is proposed to convert corpus into a small single text file that retains the characteristics similar to a standard model found in structured corpora. Experiments are performed over a self-collected corpus to demonstrate a real-life scenario from journalism application. The output word clouds show the effectiveness of proposed frequency-based technique. This technique is aimed at ease of use by users that lack expertise of data mining.

Keywords: text visualisation; summarisation; text mining; word-cloud; open-source visualisation tools; term weighting; feature weighting. (search for similar items in EconPapers)
Date: 2023
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