Much of what is discussed in social media is inspired by events in the news and, vice versa,
social media provide us with a handle on the impact of news events. We address the …

Adaptive comparative judgment (ACJ) has been widely used to evaluate classroom artifacts
with reliability and validity. In the ACJ experience we examined, students were provided a …

Analytics-as-a-Service (AaaS) has become indispensable because it affords stakeholders to
discover knowledge in Big Data. Previously, data stored in data warehouses follow some …

The management of unstructured data is acknowledged as one of the most critical unsolved
problems in data management and business intelligence fields in current times. The major …

In Natural Language Processing (NLP), there are three fundamental tasks of NLP which are
Tokenization being a part of a lexical level, Part-of-Speech tagging (POS) and Named-Entity …

One of the major challenges of the" Big Data" epoch is unstructured data mining. The
problem arises due to the storage of high-dimensional data that has no standard schema …

This paper investigates the impact of misspelled words in statistical machine translation and
proposes an extension of the translation engine for handling misspellings. The enhanced …

Today, rapid digitization requires efficient bilingual non-image and image document
classification systems. Although many bilingual NLP and image-based systems provide …

This paper proposes a novel method for superheat and capacity control of refrigeration
systems. A new low order nonlinear model of the evaporator is developed and used in a …

Today's high-dimensional data, which is mostly unstructured, makes data patterns discovery
(aka data mining) challenging and difficult for services engineers. Unstructured data mining …