Teaching files are widely used by radiologists in the diagnostic process and for student education. Most hospitals maintain an active collection of teaching files for internal purposes, but many teaching files are also publicly available online, some linked to secondary sources. However, public...

Semantic analysis is the process of extracting meaning of the sentence, from a given language. From the perspective of computer processing, challenge lies in making computer understand the meaning of the given sentence. Understandability depends upon the grammar, syntactic and semantic...

India is a land of 122 languages and numerous dialects. Lack of competent lexical resources for Indian languages is a ubiquitous fact, which negatively affects the development of tools for NLP of Indian languages. Recent advancements like the Indo WordNet project has significantly contributed to...

This article presents SmartSOP, a framework for IT support of clinical laboratory standards. Adoption of laboratory standards and good practices is critical for ensuring high-quality health services, but clinical labs are dealing with many challenges in following lab standards. The proposed IT...

Information retrieval is widely used due to extremely large volume of text and image data available on the web and consequently, efficient retrieval is required. Text information retrieval is a branch of information retrieval which deals with text documents. Another key factor is the concern for...

This article presents the work on the Part-of-Speech Tagger for Assamese based on Hidden Markov Model (HMM). Over the years, a lot of language processing tasks have been done for Western and South-Asian languages. However, very little work is done for Assamese language. So, with this point of...

The task of extracting the used feature vector in mining tasks (classification, clustering …etc.) is considered the most important task for enhancing the text processing capabilities. This paper proposes a novel approach to be used in building the feature vector used in web text document...

The objective of this case study is to illustrate how text mining of open-ended responses and sentimental expressions (positive or negative) from student survey could yield valuable information for improving student experience management (SEM). The concept of student SEM was borrowed from the...

We propose a new hybrid recommender system that combines some advantages of collaborative and content-based recommender systems. While it uses ratings data of all users, as do collaborative recommender systems, it is also able to recommend new items and provide an explanation of its...

We compare the effectiveness of financial statement variables and pre-determined lists of suspicious words with an alternative approach to fraud detection. Using the text of the Management Discussion and Analysis section from 10-Q and 10-K reports, we allow the data to identify words most...