A Short Text Clustering Approaches in Social Media

In general, handling bag-of-words representation or TF-IDF is an arduous task with short text clustering as it results in sparse vector representation mainly for short texts. This paper provides an in-depth study on learning predictor features through an auto encoder model and sentence embedding technique. Assignment of user from any clustering technique as a process of supervision in order to update the weight of the encoder analysis. Short text related datasets validate of measure effective methods and algorithms for short text unsupervised data. Among this short text are not able to clustering in some social media. This paper discusses the challenge and methods to cluster in social media short text challenging issues. Clustering methods of algorithms to sort the problem to recovery the short text using K-means algorithms of Convolution Neural Network method. This paper provides a comprehensive review of short text prediction using the clustering algorithm, explore the research challenges, and open issues in this area.</jats:p

PROGERIA IN SIBLINGS: A RARE CASE REPORT

Progeria, also known as Hutchinson-Gilford syndrome, is an extremely rare, severe genetic condition wherein symptoms resembling aspects of aging are manifested at an early age. It is an autosomal dominant disorder. It is not seen in siblings of affected children although there are very few case reports of progeria affecting more than one child in a family. Here we are presenting two siblings, a 14-year-old male and a 13-year-old female with features of progeria, suggesting a possible autosomal recessive inheritance