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Human activity detection recognizes the human body activity from different variation in human body size and different activity scope. This area of research is become more interesting because of various human body movement style. The main goal of human activity detection is to detect normal and abnormal action which helps to make human life more comfortable. The support vector machine is used in the...
Named Entity Recognition (NER) is gaining popularity in multiple Information Retrieval applications as it facilitates information extraction. Main goal of NER is to obtain named entities which are usually proper nouns, temporal entities and numerical values. Initial Named Entity Recognizers were designed to deal with formal English text. With increased use of social media, many IR and Natural Language...
The exponential growth in digital information led to the need of increasingly sophisticated search tools like the web search engines. Search engines return ranked list of documents and are less effective when users need precise answers to natural language questions. Question Answering systems involve this critical capability required for the next generation web search engines, to reduce the painstaking...
Users of matrimony websites are facing problem of overloaded choices of partners. We have implemented Partial Fuzzy Recommender System for Indian matrimony to overcome this challenging issue. Recommender system addresses the information abundant problem by providing most suitable choices to the user. The user profile may contain vague and imprecise terms. For example, prospective bride's expectation...
The purpose of the present work is creating an intelligent system to retrieve desired documents in Marathi language. The system also focuses on providing the personalized documents in Marathi language to the end user based on their interests identified from the browsing history. This paper presents the automatic categorization of Marathi documents and the literature survey of the related work done...
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