Today, the use of social networks is growing ceaselessly and rapidly. More alarming is the
fact that these networks have become a substantial pool for unstructured data that belong to …

With accelerated evolution of the internet as websites, social networks, blogs, online portals,
reviews, opinions, recommendations, ratings, and feedback are generated by writers. This …

Twitter is among the fastest‐growing microblogging and online social networking services.
Messages posted on Twitter (tweets) have been reporting everything from daily life stories to …

Short text clustering is a challenging problem due to its sparseness of text representation.
Here we propose a flexible Self-Taught Convolutional neural network framework for Short …

Microblogging, like Twitter and Sina Weibo, has become a popular platform of human
expressions, through which users can easily produce content on breaking news, public …

This work presents an overview of the text mining area, considering the most common
techniques, and including proposals based on the application of fuzzy sets. Besides, some …

Short text clustering has become an increasing important task with the popularity of social
media, and it is a challenging problem due to its sparseness of text representation. In this …

With the popularity of social platforms such as Sina Weibo, Tweet, etc., a large number of
public events spread rapidly on social networks and huge amount of textual data are …

Short text clustering is an increasingly important methodology but faces the challenges of
sparsity and high-dimensionality of text data. Previous concept decomposition methods …

Recently, social network has been paid more and more attention by people. Inaccurate
community detection in social network can provide better product designs, accurate …