Text classification is a very important area in information retrieval. Text classification
techniques used to classify documents into a set of predefined categories. There are several …

Data mining is the non-trivial extraction of implicit, earlier unknown and potentially useful
information about data. There are several data mining techniques have been developed and …

Web text classification is the process of determine the text types automatically under a given
classification, according to the text content. Web text categorization system is the use of …

Archivists and records managers would benefit from a greater understanding of the use and
effectiveness of various machine learning methods, especially in the related context of …

Governments started adopting Open Government Data (OGD) initiatives by publishing their
government data on national portals. The main benefit of creating such portals is to fuel OGD …

The need to accurately classify records is a core problem in many domains. Current
methods for auto-classification focus on a record's content and not its context. As a result …

Text mining refers to the process of deriving high quality information from text. It is also
known as knowledge discovery from text (KDT), deals with the machine supported analysis …

Archival documents are susceptible to degradation, resulting in the loss of information,
which often has cultural and heritage value. Hyperspectral processing is one of the effective …

Sentiments measured properly always give direction to future occurrences. Without an
expression through feelings plus sensitive statements, it would be difficult to predict future …

• William(Bill) Clinton White House 32 million emails (presidential and federal)• George W.
Bush White House 200+ million• Barack Obama~ 300+ million• Total: over a half billion …