Abstract: Over the next 20 years it will begin the exodus from the Internet and smart phones to the Internet of Things. The heart of IoT gives new utility and value with connectivity among things around people to the human. The proposed IoT or IIoT based Download OTA (Over-the-Air) provides a flexible mechanism for downloading Media objects of any type and size from a network. Moreover, proposed IoT based DLOTA provides a part of security by CapBAC technique.

• Publication Date: 29-Apr-2018
• DOI: 10.15224/978-1-63248-149-8-11
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Abstract: Aspect-based Sentiment Analysis (ABSA) explores the strong and weak aspects of a product. There are many online platforms that allow users to review commercial products while others to aggregate those opinions across millions of reviews at the aspect level. Such analysis is of high regard to potential customers and manufacturers to make profitable decisions. However, the existing ABSA models do not highlight the reasons behind the strengths and weaknesses of the aspects. Moving a step forward, opinion reason mining explores the reasons for the aspects being appreciated or criticized. We propose opinion reason mining framework ORMFW that uses topic model to generate aspects as groups of aspect terms which are refined using paradigmatic word associations. Polarity is evaluated for each aspect using a dictionary based approach. Furthermore, it incorporates syntagmatic word associations to map the aspects to their respective reason terms against a sentiment polarity. Results on twitter dat

• Publication Date: 29-Apr-2018
• DOI: 10.15224/978-1-63248-149-8-12
• Views: 0
• Downloads: 0