Using free open-source tools for text visualisation over unstructured corpus effectively
by Gowri R. Choudhary; Iti Sharma
International Journal of Data Analysis Techniques and Strategies (IJDATS), Vol. 15, No. 1/2, 2023

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.

Online publication date: Fri, 28-Jul-2023

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Data Analysis Techniques and Strategies (IJDATS):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com