Automated textual analysis of firm-related documents has become an important decision
support tool for stock market investors. Previous studies tended to adopt either dictionary …

A great variety of text tasks such as topic or spam identification, user profiling, and sentiment
analysis can be posed as a supervised learning problem and tackled using a text classifier …

Emails have become one of the major applications in daily life. The continuous growth in the
number of email users has led to a massive increase of unsolicited emails, which are also …

The growth in the number of industries aiming at more sustainable business processes is
driving the use of the European Waste Catalogue (EWC). For example, the identification of …

Sentiment analysis on text mining has a vital role in the process of review classification. Text
classification needs some techniques like natural language processing, text mining, and …

Classifying the cognitive levels of assessment questions according to Bloom's taxonomy can
help instructors design effective assessments that are well aligned with the intended …

Previous studies have shown that software traceability, the ability to link together related
artifacts from different sources within a project (eg, source code, use cases, documentation …

Natural language processing (NLP) plays a key role in advancing health care, being key to
extracting structured information from electronic health reports. In the last decade, several …

Laser machining is a highly flexible non‐contact fabrication method used extensively across
academia and industry. Whilst simulations based on fundamental understanding offer some …

One of the most difficult issues today, is the integration of data from various sources. Thus, it
arises the need of automatic Data Integration (DI) methods. However, in the literature there …