Machine learning and deep learning, as we know, have started ruling over almost every field in th... more Machine learning and deep learning, as we know, have started ruling over almost every field in the computing industry and so, has revolutionized the process of text summarization too. Automatic text summarization is an advancing realm of the natural language processing research in which concise textual summaries are generated from lengthy input documents. Extensive research has been carried out on how automatic summarization can be prosecuted through various extractive and abstractive techniques. In this paper, we address all the approaches to text summarization and present the modus operandi of an Architecture called Encoder-Decoder, under the machine learning approach. Moreover, we propose several novel implementation models for this architecture, in Keras and TensorFlow that consists of various machine learning and deep learning neural network libraries.
International Journal of Advance Research And Innovative Ideas In Education, 2017
Home automation and Internet of Things are gaining popularity nowadays. In today's world, Automat... more Home automation and Internet of Things are gaining popularity nowadays. In today's world, Automatic systems are being preferred over the manual system. A Smart home automation system is based on making user life easier. The Internet of Things generates a huge amount of data. Additionally, it contains a huge number of sensors and their data which can control or monitor objects. This paper verbalizes about how big machine learning and data mining use for converting the normal home automation to the smart home automation system. Here the user of this system can control their home using their smartphone as well as computer or any devices which are connected to the internet. And also get suggestions [using prediction algorithm], reminder, and alerts additionally system interact with user
Uploads
Papers by Satyadev Vyas