Attempts to mine text documents to discover deviations or anomalies have increased in
recent years due to the elevated amount of textual data in today's data repositories. Text …

Text classification problem receives a lot of research that are based on machine learning,
statistical, and information retrieval techniques. In the last decade, the associative …

Opinion mining is used to automate the process of identifying opinion whether it is a positive
or negative view. Majority of previous works on this field uses natural language …

Os indicadores são amplamente utilizados pelas organizações como forma de avaliar,
medir e classificar o desempenho organizacional. Parte integrante de sistemas de …

This paper proposes a strategy for representing constraints in a conceptual graph
knowledge base. We describe a set of techniques for using these constraints to detect …

Canonical form is a notion stating that related idea should have the same meaning
representation. It is a notion that greatly simplifies the task by dealing with a single meaning …

As medidas de desempenho têm sido reconhecidas como importantes ferramentas a
serviço do desenvolvimento das organizações (JIN et al., 2013). Velimirovic, Velimirovic e …

The detection of semantic-based text anomaly is an interesting research area which has
gained considerable attention from the data mining community. Text anomaly detection …

Abstract Noise in a Software Requirements Specification (SRS) is an irrelevant requirements
statement or a non-requirements statement. This can be confusing to the reader and can …

Anomaly detection is a vital task in text mining. It has a diverse application in domains like
Law, Digital Library, Print media and Journal articles. More so, anomalous text information is …