Text-based personality computing (TPC) has gained many research interests in NLP. In this
paper, we describe 15 challenges that we consider deserving the attention of the NLP …

In recent years, author identification has become an active research area, where the major
differences are caused by paper or online medium, mode of entry and target audience …

Text-based personality computing (TPC) has gained many research interests in NLP. In this
paper, we describe 15 challenges that we consider deserving the attention of the research …

Multi-feature data analysis (eg, on Facebook, LinkedIn) is challenging especially if one
wants to do it efficiently and retain the flexibility by choosing features of interest for analysis …

Given the huge amount of heterogeneous data stored in different locations, it needs to be
federated and semantically interconnected for further use. This paper introduces WINFRA, a …

Given the increasing number of heterogeneous data stored in relational databases, file
systems or cloud environment, it needs to be easily accessed and semantically connected …

Large language models (LLMs) exhibit robust capabilities in text generation and
comprehension, mimicking human behavior and exhibiting synthetic personalities. However …

To protect user privacy in data analysis, a state-of-the-art strategy is differential privacy in
which scientific noise is injected into the real analysis output. The noise masks individual's …

Personality is a psychological concept which embodies the unique characteristics of an
individual. An individual's distinct traits are embodied by the psychological concept of …

We are on the cusp of analyzing a variety of data being collected in every walk of life-social,
biological, health-care, corporate, climate, to name a few. The data sets are becoming …