Discuss about the Use Of Face Reorganization System In The Social Media Platform.
The report discusses about the use of face reorganization system in the social media platform. The article discusses about how the integration of face reorganization system will revolutionize the way user interact with the social media platform. According to the authors, the primary problem of the face reorganization technique lies in the change of facing expression while posing for the capture of the photo. The authors have made a survey in this context to study the effect of face variation in the face recognition technique. In order to deal with the problem the authors have suggested for use of video for face recognition technique. The experiment conducted by the authors is focused on the effect of facial changes on the quality and authenticity of the face recognition system. The recognition technique the authors have proposed is based on the PCA based 2D algorithm technique. Although the authors has proposed for Video over the still image to improve the face variation problem. However there is still some limitation in the technique as both the technique is based on 2D image technique. In order to improve the research 3D face recognition technique is proposed as 3D image is much more reliable for face reorganization technique as it combines face variations with the facial expression more accurately. A survey is proposed to be conducted in this regard.
The authors have discussed the use of big data analytics in the context of social media platform. The paper is focused on the application of big data technique in analyzing the social media data for improving the user experience and serve them more effectively by offering the services on a personalized basis and offering content that actually matters to them. The authors in this regard have collected the social media data of Fcaebook through Application Programming Interfaces (API). The data has been then analyzed with Python on the Hadoop platform to analyze the data set to extract the insight from the data. The paper has only discussed about the data analysis, but in order to effectively analyze the data there are lot of steps involved before analyzing the data. Data sourcing and refining are two important steps in big data analytics. The paper misses this two important aspect of the data analytics which needs further analysis and a research is intended to be carried out in this context through literature review and practical implementation.
The paper discusses about the application of cloud computing for storing social media data. The paper discusses about the drawbacks of the traditional storing devices and the advantages that the cloud storage brings over the traditional storage techniques. The authors have collected case studies from various vendors which includes the use of cloud computing by several reputed social media organizations. These case studies have been analyzed thoroughly to find out the effectiveness of the cloud solution in the context of the social media platform. the paper has presented the idea of cloud computing and the effectiveness of the technology for storing the social media data that is not only huge in volume but also varies in terms of structure and format which the traditional data storage solution cannot handle. However the paper has not discussed the security challenges the cloud storage solution brings along with the advantages. The security issues of the cloud storage are data integrity, data availability and data theft. A research is intended to be carried out in this context to find out the best way to mitigate with the data security issue in cloud computing. A survey will be carried out to find out the cloud vendors that offer best security assurance for the stored data and also the security technologies used by these vendors to secure the data for effective cloud storage solution.
The paper discusses about the mind reading technology and how this technology can be used. This technology is quite new in the market and a research is going on this topic. The research topic is very popular among the researchers as the technology will create a revolution in the way human interacts with the machine. The machine will be able to read the human mind and also able to interpret the purpose for which the machine is being used. A lot of paper has already been published in this regard, but the fact which makes the paper unique is that the researchers has made a hypothetical model and along with that the researchers have also included the challenges and issues that had been faced in the designing the model. As the research is currently in the development phase, the validity of the research cannot be justified on the basis of the application.
The paper discusses about the integration of RFID technology with social media platform for increasing the brand awareness through social media marketing. According to the authors RFID has the potential to improve the social media to a great extent. The authors have chosen a single case study to understand the application of the technology in social media marketing. The authors have collected the data from a single project and that too in a pilot stage as the authors think that due to the complexity of the project, the approach is justified. Hence the topic needs further research as the companies will require illustrative example to understand the process in details to apply the technology in real projects. Hence a longitudinal study will be carried out to find out the issues like security, cost of the technology and also the impact on the technology on the customer to create an effective plan for the RFID implementation.
The authors have described the use of intelligent personal assistance for improving the social media experience. Intelligent personal assistance like Alexa, Cortana, Google assistance have already improved the experience of using smart phones for managing the personal task like booking cabs, ordering food online, setting reminder for important task and many more. These tasks have been made more automated and easier to manage with the personal assistance. The technology can be used for improving the social media experience too. Tasks like uploading profile picture, accepting and sending friend request, set birthday reminders will be easier to manage. This paper however has largely focused on the theoretical aspect of the technology and has not presented actual review and experience of the users. Hence a survey is recommended to be conducted to understand the application of the technology that is based on the user review. It will also help to propose modification and changes to improve the experience based on user review.
The paper discusses the integration of IoT technology with the social media platform. According to the authors the integration of the social media technology will not only improve the social media experience, but also make the platform more smart and advanced. The authors in this paper first give a complete overview about the proposed architecture for integrating IoT with the social media and have used the term SIoT exclusively throughout the paper. The key perspective of the ubiquitous computing that IoT presents in this context which is followed by a literature review on the topic. However the topic also presents some challenges and issues which needs further research. Issues like Interoperability, Data Management, data Security, data privacy needs through review to make the technology compatible for organizational uses.
The paper discusses about the use of augmented reality to improve the marketing through social media. The integration of augmented reality with the social media will create tremendous opportunity for the marketers as well as for the customer as well. A user for example will be able to directly able to experience the product or the service without even visiting the store and this beauty of the technology. The authors have collected journals from the Social Sciences Citation Index (SSCI) database for presenting the literature review. The major part of the research follows mixed methods which is followed by quantitative research methods (32.73%) and qualitative research methods (7.27%). ; it is recommended to do more extensive research on the topic and also the use of van Hiele’s level of geometric reasoning test is recommended to collect comprehensive data. more studies are also recommended in this context as there is variation of cognitive procedure and psychological engagement among AR and reality set.
The article discusses about the importance of the machine learning for social media. The authors highlight the fact the due to the vast amount of data generated by the social media users, it is impossible to manually interpret the data and based on that provide information about the social media activities carried out by the user. The authors in this paper have tried to investigate and the analyze the problems associated with the data analysis that is vast in terms of variety and frequency. The major problem, according to the authors is the scalability issues of the data that is vast in amount. The authors has presented literature review and presented a survey that shows the adoption of the machine learning algorithm by various big organizations. However the article has not discussed about the security issues and challenges of the technology that might be faced by the small enterprises that want to integrate the technology to understand the customer to increase their sale. Hence additional research is needed in this context through surveys and study on the organizational infrastructure of typical SME organization to improve the research.
The paper discusses about the use of virtual reality technology for social media. The technology has the ability to create virtual spaces where people will be able to interact with each other much like in the way people used to interact with each other in the real world. Others could very well be the next social media revolution. The authors has presented various literature reviews on this topic and also presented a survey for collecting public opinion about the use of virtual reality technology and their opinion about the use of the technology in the context of social media. However most of the literature treats the technology as object. Due to the fact that virtual technology are relatively new, it requires detailed analysis of the actual implementation of the technology and only outlining the applications is not enough in this context. Hence a large number of application article are need for effective literature review.
The authors have presented the application of data mining technology in the context of social media platform. In the social media people often post fake news in the social media platforms. However there is currently no such technology which detects the authenticity of the news. However the data mining technology has the ability to detect the authenticity of the news by analyzing the source of the information. The paper has presented various surveys and data mining algorithms which clearly shows how to implement the data mining technology for the data analysis. The authors have specially focused on the research that is data oriented. However considering that the technology is relatively new the research directions should not only be data oriented, it should also be Feature-oriented, Model-oriented and Application oriented.
The article talks about the importance of GPS technology in social media marketing and how it helps customer finding the location of the organization through geo tagging without ever visiting through the website of the organization. Although the paper contains literature review, The authors have presented the technology focusing more on the theoretical part. In order to improve the research, surveys with the customers have to be carried out to understand the implication of the technology from the customer perspective.
References:
Becker, H., Naaman, M., & Gravano, L. (2015, February). Learning similarity metrics for event identification in social media. In Proceedings of the third ACM international conference on Web search and data mining (pp. 291-300). ACM.
Cao, X., Guo, X., Liu, H., & Gu, J. (2015). The role of social media in supporting knowledge integration: A social capital analysis. Information Systems Frontiers, 17(2), 351-362.
Carmigniani, J., Furht, B., Anisetti, M., Ceravolo, P., Damiani, E., & Ivkovic, M. (2015). Augmented reality technologies, systems and applications. Multimedia tools and applications, 51(1), 341-377.
Fisher, T. (2015). ROI in social media: A look at the arguments. Journal of Database Marketing & Customer Strategy Management, 16(3), 189-195.
Gandomi, A., & Haider, M. (2015). Beyond the hype: Big data concepts, methods, and analytics. International Journal of Information Management, 35(2), 137-144.
Kaplan, A. M., & Haenlein, M. (2015). Users of the world, unite! The challenges and opportunities of Social Media. Business horizons, 53(1), 59-68.
Mangold, W. G., & Faulds, D. J. (2017). Social media: the application of mind technology. Business horizons, 52(4), 357-365.
Mining, W. I. D. (2015). Data Mining: Concepts and Techniques. Morgan Kaufinann.
Naone, E. (2015). TR10: Intelligent Software Assistant. Mar.-Apr.
Stone, Z., Zickler, T., & Darrell, T. (2015). Toward large-scale face recognition using social network context. Proceedings of the IEEE, 98(8), 1408-1415.
Wlodarczak, P., Soar, J., & Ally, M (2015). Big Data analytics of Social Media.
Zeng, D., Chen, H., Lusch, R., & Li, S. H. (2015). Social media analytics and intelligence. IEEE Intelligent Systems, 25(6), 13-16.
Essay Writing Service Features
Our Experience
No matter how complex your assignment is, we can find the right professional for your specific task. Contact Essay is an essay writing company that hires only the smartest minds to help you with your projects. Our expertise allows us to provide students with high-quality academic writing, editing & proofreading services.
Free Features
Free revision policy
$10Free bibliography & reference
$8Free title page
$8Free formatting
$8How Our Essay Writing Service Works
First, you will need to complete an order form. It's not difficult but, in case there is anything you find not to be clear, you may always call us so that we can guide you through it. On the order form, you will need to include some basic information concerning your order: subject, topic, number of pages, etc. We also encourage our clients to upload any relevant information or sources that will help.
Complete the order form
Once we have all the information and instructions that we need, we select the most suitable writer for your assignment. While everything seems to be clear, the writer, who has complete knowledge of the subject, may need clarification from you. It is at that point that you would receive a call or email from us.
Writer’s assignment
As soon as the writer has finished, it will be delivered both to the website and to your email address so that you will not miss it. If your deadline is close at hand, we will place a call to you to make sure that you receive the paper on time.
Completing the order and download