Note 1: term counts based on the label, alternative labels and the description of skills. Note 2: a RCA < 1 means that the term is less frequent among digital skills relative to all skills. Thus the term has a relative comparative ‘disadvantage’ describing digital skills. RCA (low advantage) for digital RCA between 1 and 5; RCA (mid advantage) for digital RCA between 5 and 10; and RCA (high advantage) for digital RCA greater than 10. Note 3: for the text analysis, we first tokenise the text, we then discard punctuation marks and stop-words such as ‘from’, ‘the’, and ‘further’, and finally, we apply a lemmatisation using Python NLTK package for Natural Language Processing (NLP).</p
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Readability formulas are methods used to match texts with the readers’ reading level. Several method...
The major purpose of the study was to capture a representative sample of natural language from the t...
Wenormally view text as a sequence of words, or we can impose additional structure on it like syntax...
Corpus-level term statistics are valuable for numerous text analysis activities, such as term weight...
In this paper, we present the preliminary results on the analysis of deep learning terms used for na...
This paper describes an alternative approach to assessing the lexical complexity of short texts prod...
Much progress has been made in text analysis, specifically within the statistical domain of Term Fre...
With the ever-increasing demand for machine learning and programming professionals, it's prime time ...
Automatic feature selection methods such as document frequency (DF), information gain (IG), mutual i...
Text mining is the process of extracting interesting and non-trivial knowledge or information from u...
In text categorization, a well-known problem related to document length is that larger term counts i...
In a world that routinely produces more textual data. It is very critical task to managing that text...
(A) Average number of sentences per abstract across five science disciplines. (B) Average number of ...
An enormous amount of knowledge is needed to infer the meaning of unrestricted natural language. The...
International audienceWe analyse a sample text. By identifying compounds and other sequences of word...
Readability formulas are methods used to match texts with the readers’ reading level. Several method...
The major purpose of the study was to capture a representative sample of natural language from the t...
Wenormally view text as a sequence of words, or we can impose additional structure on it like syntax...