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The study aims to describe the consequences for future feeding of orphans under five years of age, following the mother's death, applying open-access text mining software packages. This was a crosscutting study of articles indexed in PubMed and BIREME on the themes of maternal death and orphan children. We selected ten open-access articles published from 2005 to 2015 in which only the title or abstract were read and which met the selection criteria. The text files determined the corpus for analysis of the semi-structured content. Keywords were included for the mining. Analysis of the corpus used TagCrowd and Textalyser to analyze the more versus less frequent terms, and AntConc and Voyant Tools were used to extract keywords in the context analysis. A total of 67,642 words were analyzed in ten semi-structured texts. The terms CHILDREN (827) and DEATH (821) were the most frequent, while the least frequent were BREASTFEEDING (10) and NUTRITION (4). We found 44 concordances for the root term BREAST* and 25 for the word NUTRITION in phrases such as "orphan infants have increased risk of mortality due to lack of breastfeeding and are more susceptible to infections". The concordant sentences indicate that the change away from maternal breastfeeding leads to poor nutrition and leaves the child more susceptible to infections, increasing the risk of death. Text processing with open-access tools was rapid and allowed extracting useful and comprehensible information; analysis of the ten articles showed the consequences for the child's feeding after the mother's death, affecting infant morbidity and mortality.

Consequências na alimentação de crianças órfãs após a morte materna: uma investigação por meio de softwares de mineração de texto