Named Entity Recognition for Telugu Language
M. Humera Khanam, P. Udayasri

Abstract
Named entity recognition (NER) is a subtask of information extraction that seeks to locate and classify elements in text into predefined categories such as names of persons, locations, organizations, date, measures etc; NER has many applications in Natural Language Processing (NLP). Data classification, more accurate internet search engines, automatic indexing of documents, automatic question answering, cross language information access, and machine translation system etc are applications of NER in NLP.
This paper describes about the development of a two stage hybrid Named Entity Recognition system for Telugu language. We have used Maximum Entropy Model in this system. We have used variety of features and contextual information for predicting the various Named Entity (NE) classes. We have also tried to identify the nested named Entities by giving some linguistic rules.
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Customer’s Purchasing Behavior towards Spykar Jeans – A Study of Indore City
Ashima Joshi, Shweta Pandit

Abstract
In the Asian subcontinent, maximum share of demand of denim is dominated by most populated countries India and China. Westernization is the key feature of their contemporary civilization and the inclusion of denim in routine is increasing day by day. Hence the demand for denim will automatically increase in near future. We may say that denim market will be on boom in next few decades. Asian consumers are having a tendency to wear designer branded label jeans along with reasonable prize. Hence in last few decades in Indian market acceptance of denim has reached at a very high level. The dominance for denim started from the metros of the India and now it has become a need of every one’s life. Durability, affordability, versatility and acceptance by both male and female as a comfortable dressing makes denim most popular.
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