An IP Multimedia Subsystem Service Discovery and Exposure Approach Based on Opinion Mining by Exploiting Twitter Trending Topics

2019 ◽  
pp. 431-445
Author(s):  
Armielle Noulapeu Ngaffo ◽  
Walid El Ayeb ◽  
Zièd Choukair
Keyword(s):  
Service Discovery ◽  
Opinion Mining ◽  
Ip Multimedia Subsystem ◽  
Trending Topics

Study of Sentiment of Governor's Election Opinion in 2018

2018 ◽  
pp. 231-238
Author(s):  
Agung Eddy Suryo Saputro ◽  
Khairil Anwar Notodiputro ◽  
Indahwati A
Keyword(s):  
Sentiment Analysis ◽  
Naive Bayes ◽  
Naïve Bayes ◽  
Addition Method ◽  
Sentiment Mining ◽  
Positive Sentiment ◽  
Trending Topics ◽  
Election News

In 2018, Indonesia implemented a Governor's Election which included 17 provinces. For several months before the Election, news and opinions regarding the Governor's Election were often trending topics on Twitter. This study aims to describe the results of sentiment mining and determine the best method for predicting sentiment classes. Sentiment mining is based on Lexicon. While the methods used for sentiment analysis are Naive Bayes and C5.0. The results showed that the percentage of positive sentiment in 17 provinces was greater than the negative and neutral sentiments. In addition, method C5.0 produces a better prediction than Naive Bayes.

Using JAIN SLEE as an Interaction and Policy Manager for Enabler-based Services in Next Generation Networks

2010 ◽  
Vol 56 (2) ◽  
pp. 117-124 ◽  
Author(s):  
Mosiuoa Tsietsi ◽  
Alfredo Terzoli ◽  
George Wells
Keyword(s):  
Internal Structure ◽  
Next Generation Networks ◽  
Ip Multimedia Subsystem ◽  
Next Generation ◽  
Provision Of Services ◽  
Service Capability

Using JAIN SLEE as an Interaction and Policy Manager for Enabler-based Services in Next Generation Networks The IP Multimedia Subsystem is a telecommunications framework with a standard architecture for the provision of services. While the services themselves have not been standardised, standards do exist for basic technologies that can be re-used and aggregated in order to construct more complex services. These elements are called service capabilities by the 3GPP and service enablers by the OMA, both of which are reputable standards bodies in this area. In order to provide re-usability, there is a need to manage access to the service capabilities. Also, in order to build complex services, there is a further need to be able to manage and coordinate the interactions that occur between service capabilities. The 3GPP and the OMA have separately defined network entities that are responsible for handling aspects of these requirements, and are known as a service capability interaction manager (SCIM) and a policy enforcer respectively. However, the internal structure of the SCIM and the policy enforcer have not been standardised by the relevant bodies. In addition, as the SCIM and the policy enforcer have been defined through complementary yet separate processes, there is an opportunity to unify efforts from both bodies. This paper builds on work and standards defined by the bodies, and proposes the design of an interaction manager with features borrowed from both the SCIM and the policy enforcer. To help validate the design, we have identified a platform known as JAIN SLEE which we believe conforms to the model proposed, and we discuss how JAIN SLEE can be used to implement our ideas.

A Study on Different Web Service Discovery Approaches

2018 ◽  
Vol 6 (9) ◽  
pp. 311-314
Author(s):  
Rahul P. Mirajkar ◽  
Nikhil D. Karande ◽  
Surendra Yadav
Keyword(s):  
Web Service ◽  
Service Discovery ◽  
Web Service Discovery
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