The impact of sentiment analysis from user on Facebook to enhanced the service quality

Facebook's influence on the modern social media platform is undoubtedly enormous. While it has gotten a backlash for its inability to control its influence over important affairs, there are still many questions regarding people's perception of Facebook and their sentiment over Facebook. This paper's role in this ongoing debate is to give a glimpse of people's sentiment and perception of Facebook in recent times. By collecting samples data from Facebook's Top Page, this paper hopes to represent a significant amount of people's aspirations towards this company. By processing the data with a processing tool to construct and model out the data and a sentiment analyzer tool helps determine the sentiment, this paper can deduce a 600-comment worth of processed data. The results from the 600 sampled comments concluded that the sentiments towards Facebook are 41.50% negative comments, 22.83% neutral comments, and 35.67% positive comments

Using big data for customer centric marketing

This chapter deliberates on “big data” and provides a short overview of business intelligence and emerging analytics. It underlines the importance of data for customer-centricity in marketing. This contribution contends that businesses ought to engage in marketing automation tools and apply them to create relevant, targeted customer experiences. Today’s business increasingly rely on digital media and mobile technologies as on-demand, real-time marketing has become more personalised than ever. Therefore, companies and brands are striving to nurture fruitful and long lasting relationships with customers. In a nutshell, this chapter explains why companies should recognise the value of data analysis and mobile applications as tools that drive consumer insights and engagement. It suggests that a strategic approach to big data could drive consumer preferences and may also help to improve the organisational performance.peer-reviewe

Role of mashups, social networking platforms and semantic in revolutionizing web integration: Key insights and enterprise implications

The article examines the emergence and role of mashups in integrating data across the web, how social networking platforms penetrated the web by adding social experiences and how they helped in web integration, while solving some of the issues of mashups. We also discuss how semantic markups evolved in parallel, trying to bring in structured data and why social networking platforms need semantics for building the social graph of users. We take the case of Facebook‟s Open Graph protocol and discuss how semantic markups enhanced web integration by simplifying the process of creating mashups, giving more personalized experiences to the users. Finally, we present an integrated view of the role of mashups, social networking platforms and semantics from the angle of web integration and the insights that enterprises can learn from them

Social Data

As online social media grow, it is increasingly important to distinguish between the different threats to privacy that arise from the conversion of our social interactions into data. One well-recognized threat is from the robust concentrations of electronic information aggregated into colossal databases. Yet much of this same information is also consumed socially and dispersed through a user interface to hundreds, if not thousands, of peer users. In order to distinguish relationally shared information from the threat of the electronic database, this essay identifies the massive amounts of personal information shared via the user interface of social technologies as “social data.” The main thesis of this essay is that, unlike electronic databases, which are the focus of the Fair Information Practice Principles (FIPPs), there are no commonly accepted principles to guide the recent explosion of voluntarily adopted practices, industry codes, and laws that address social data. This essay aims to remedy that by proposing three social data principles — a sort of FIPPs for the front-end of social media: the Boundary Regulation Principle, the Identity Integrity Principle, and the Network Integrity Principle. These principles can help courts, policymakers, and organizations create more consistent and effective rules regarding the use of social data

Google+ vs Facebook: The Comparison

Social networks are a varyingly popular tool used to connect with friends, colleagues and/or family. Recently, Facebook has been at the top of the social network food chain, with Bebo and MySpace decreasing in users and the huge increase of users joining Facebook in such a short time. Google have just recently launched Google+, a social networking site. This is not the first time that Google have attempted to break into the social networking scene but it is possible that these failed attempts may have taught them something. As Facebook’s user base is extremely diverse, spreading across different countries, races, ages, professions, and interests, to name a few, this network is a good model to compare new rival Google+ to. Google+ has set out to do the same things as Facebook but better to try and steal away some of that high power and necessity that Facebook has gained. Facebook has News feed, Google has Stream. Facebook has Lists, Google has circles. Facebook has like’s, Google has +1. Facebook accounts for 10% of overall internet usage. This paper will look at various comparables between the two social networks and analyse the better functionality, design and ease of use. It will then conclude a verdict on which is the better social network to use overall.

Exploring data sharing obligations in the technology sector

This report addresses the question: What is the role of data in the technology sector and what are the opportunities and risks of mandatory data sharing? The answer provides insights into costs and benefits of variants of data sharing obligations with and between technology companies