The within-subjects factors were emotion valence (positive, neutral, negative) and relevance of the negative emotion to the action (relevant, meaning relevant and specific; irrelevant, meaning not specific).
This has the advantage of getting more insight into the relevance of each feature separately, focusing on strongly relevant, weakly relevant, and irrelevant features.
Once a researcher has indicated which documents are in fact relevant, the relevant, and non-relevant documents can be used as positive and negative examples for machine learning algorithms to predict the relevance of additional documents.
The relevance of genes in cancer occurrence can be categorized into three classes: Strongly relevant, weakly relevant and irrelevant genes [4].
The relevance of the items was also assessed using a four-point rating scale: (i) not relevant, (ii) slightly relevant, (iii) relevant, and (iv) very relevant.
Yu et al. provide formal definitions of "strongly relevant," "weakly relevant," and "irrelevant" features [ 26].
Further screening involving a three stage triaging process where selected team members ranked the titles, abstracts, or full-text articles as relevant, potentially relevant, and not relevant, resulted in 180 relevant articles.
Correlation based (CFS): In CFS features can be classified into three disjoint categories, namely, strongly relevant, weakly relevant and irrelevant features [ 4][ 30].
The items were rated on a four-point ordinal scale of relevance and intelligibility as follows: 1=not relevant, 2=somewhat relevant, 3=quite relevant, and 4=highly relevant.
