In this paper we focus on event extraction from Tamil news article. This system utilizes a scoring scheme for extracting and grouping event-specific sentences. Using this scoring scheme eventspecific clustering is performed for multiple documents. Events are extracted from each document using a scoring scheme based on feature score and condition score. Similarly event specific sentences are clu...

The development of credit card application should be in proportion with the expectation of terrible credit hazard on the grounds that it doesn't utilize security collateral as guarantee. The use of credit scoring can be utilized to help the credit hazard assay in deciding the customer's eligibility. Data mining has been demonstrated as a significant tool for credit scoring. The objective of thi...

Credit scoring is an important tool in financial institutions, which can be used in credit granting decision. Credit applications are marked by credit scoring models and those with high marks will be treated as “good”, while those with low marks will be regarded as “bad”. As data mining technique develops, automatic credit scoring systems are warmly welcomed for their high efficiency and object...

In our information era, keywords are very useful to information retrieval, text clustering and so on. News is always a domain attracting a large amount of attention. However, the majority of news articles come without keywords, and indexing them manually costs highly. Aiming at news articles’ characteristics and the resources available, this paper introduces a simple procedure to index keywords...

We propose a multiple-document summa-rization system with user interaction. Our system extracts keywords from sets of documents to be summarized and shows the keywords to a user on the screen. Among them, the user selects some keywords reflecting his/her needs. Our system controls the produced summary by using these selected keywords. For evaluation of our method, we participated in TSC3 of NTC...