intelligent system visualized data di kypa rajendra (5 risultati)

Taschenbuch. Condizione: Neu. Neuware -The chapter 1 discusses about the importance of the social media in the day to day life and how users are utilizing their services. It summarizes why web users opted social media for data analysis and for daily decision making process. This chapter discussed about the definitions of the sentiment analysis and opinion mining. This chapter explains how sentiments or opinions are expressed, by web users. The chapter 2 discusses about the literature study of this research domain on the popular social networking sites, taking some example sites like twitter, amazon, flipkart etc., and various tools available for the task of sentiment analysis. This chapter discusses about, what is intelligent system. We have shown different sentiment classification levels and sentiment analysis methodology. The chapter 3 discusses about the system design for this research domain. This chapter depicts a model diagram of an intelligent system that processing the twitter data, and the complete diagram of the intelligent system for visualized data analytics and the data flow diagram of the sentiment analysis variation of social data.Books on Demand GmbH, Überseering 33, 22297 Hamburg 52 pp. Englisch.

Paperback. Condizione: Brand New. 52 pages. 8.66x5.91x0.12 inches. In Stock.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kypa Rajendra PrasadSri Dr.K.Rajendra Prasad is the Head of the Department for computer science and engineering department in IARE, Hyderabad, India. He has vast experience in Data Mining, Pattern Recognition, Artificial Intelligence.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The chapter 1 discusses about the importance of the social media in the day to day life and how users are utilizing their services. It summarizes why web users opted social media for data analysis and for daily decision making process. This chapter discussed about the definitions of the sentiment analysis and opinion mining. This chapter explains how sentiments or opinions are expressed, by web users. The chapter 2 discusses about the literature study of this research domain on the popular social networking sites, taking some example sites like twitter, amazon, flipkart etc., and various tools available for the task of sentiment analysis. This chapter discusses about, what is intelligent system. We have shown different sentiment classification levels and sentiment analysis methodology. The chapter 3 discusses about the system design for this research domain. This chapter depicts a model diagram of an intelligent system that processing the twitter data, and the complete diagram of the intelligent system for visualized data analytics and the data flow diagram of the sentiment analysis variation of social data. 52 pp. Englisch.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The chapter 1 discusses about the importance of the social media in the day to day life and how users are utilizing their services. It summarizes why web users opted social media for data analysis and for daily decision making process. This chapter discussed about the definitions of the sentiment analysis and opinion mining. This chapter explains how sentiments or opinions are expressed, by web users. The chapter 2 discusses about the literature study of this research domain on the popular social networking sites, taking some example sites like twitter, amazon, flipkart etc., and various tools available for the task of sentiment analysis. This chapter discusses about, what is intelligent system. We have shown different sentiment classification levels and sentiment analysis methodology. The chapter 3 discusses about the system design for this research domain. This chapter depicts a model diagram of an intelligent system that processing the twitter data, and the complete diagram of the intelligent system for visualized data analytics and the data flow diagram of the sentiment analysis variation of social data.