Feature selection and extraction are frequently used solutions to overcome the curse of
dimensionality in text classification problems. We introduce an extraction method that …

Time is an important aspect in temporal information retrieval (TIR), a subfield of information
retrieval (IR). Web search engines like Google or Bing are common examples of IR systems …

With the increasingly huge amount of data located in various databases and the need for
users to access them, distributed information retrieval (DIR) has been at the core of the …

The World Wide Web (WWW) is the largest available repository of information. This huge
amount of information put forward the challenges of retrieval of trustworthy information from …

Agglomerative hierarchical is a bottom up clustering method, where the distances between
documents can be retrieved by extracting feature values using a topic-based latent dirichlet …

Text summarization techniques offer a way to address the significant challenges faced by
clinicians and researchers due to the exponential growth of information in healthcare on the …

Document retrieval aims to find documents in a collection of unstructured text to meet the
needs of user information. The search engine was required in the document retrieval system …

In this study we replace the TF component of the TFxIDF term weighting method with a
parameter derived from Luhn's claim on term importance. Luhn claims that the words with …

Time is deemed as paramount aspect in Information Retrieval (IR) and it profoundly
influence the interpretation as well as the users intention and expectation. The temporal …

From last few years the amount of data generated in growing exponentially. Due to the
advancement in technology. All most every data in present world warehoused in the form of …