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Название: Extracting Knowledge From Opinion Mining
Автор: Rashmi Agrawal, Neha Gupta
Издательство: IGI Global
Серия: Advances in Data Mining and Database Management
Год: 2018
Страниц: 375
Язык: английский
Формат: pdf (true)
Размер: 13.1 MB
Data mining techniques are commonly used to extract meaningful information from the web, such as data from web documents, website usage logs, and hyperlinks. Building on this, modern organizations are focusing on running and improving their business methods and returns by using opinion mining. In this book, through introducing the Deep Learning and relation between Deep Learning (DL) and Artificial Intelligence (AI), and especially Machine Learning (ML), the authors discuss machine learning and deep learning techniques, the literature focuses on applied deep learning techniques for extracting opinions. It can be found that opinion mining without using deep learning is not meaningful.
Автор: Rashmi Agrawal, Neha Gupta
Издательство: IGI Global
Серия: Advances in Data Mining and Database Management
Год: 2018
Страниц: 375
Язык: английский
Формат: pdf (true)
Размер: 13.1 MB
Data mining techniques are commonly used to extract meaningful information from the web, such as data from web documents, website usage logs, and hyperlinks. Building on this, modern organizations are focusing on running and improving their business methods and returns by using opinion mining. In this book, through introducing the Deep Learning and relation between Deep Learning (DL) and Artificial Intelligence (AI), and especially Machine Learning (ML), the authors discuss machine learning and deep learning techniques, the literature focuses on applied deep learning techniques for extracting opinions. It can be found that opinion mining without using deep learning is not meaningful.