A review of semi-supervised learning for text classification.

A huge amount of data is generated daily leading to big data challenges. One of them is related to text mining, especially text classification. To perform this task we usually need a large set of labeled data that can be expensive, time-consuming, or difficult to be obtained.

Evaluation of Learning in Oncology of Undergraduate Nursing with the Use of Concept Mapping.

This study aims to identify whether the use of concept mapping (CM) strategy assists a student to extend and revise their expertise in oncology and analyze the abilities developed in a student in order to go through theoretical to practical knowledge. This study is descriptive and qualitative, with 20 undergraduate students of the Undergraduate Nursing Course of Paulista School of Nursing of Federal University of São Paulo, Brazil. The critical incident technique and content analysis were used.