A Review on Social Media Analysis: Challenges and Application

KI - Künstliche Intelligenz, 2013

This special issue includes papers that show, first, how to make sense of Social Media data, i.e. how to condense, distill, or integrate highly decentralized and dispersed data resulting from human communication, and second, how Social Media contributes to innovation, collaboration, and Collective Intelligence.

Encyclopedia of E-Commerce Development, Implementation, and Management, 2000

Social media develops a comprehensive framework of e-business by taking a multidisciplinary approach to understanding e-business and its implications for businesses, economies and the social environment. Social commerce is emerging as an important platform in e-commerce, primarily due to the increased popularity of social networking sites such as Facebook, LinkedIn, and Twitter. This part offers a systematic method to understand and conceptualize online social media as an ecosystem of related elements. The information on-line is based upon a fundamental network structure. Links among Web pages can help us to understand how these pages are related, how they are grouped into different communities, and which pages are the most prominent or important. A social network is a map of specified ties, such as friendship, between the nodes being studied. The nodes to which an individual is connected are that individual's social contacts. Network theories work by using organizational relations in all organizational fields. Social media is defined with respect to different types of networks in which the basic units being connected are pieces of information and links join pieces of information that are related to each other in some fashion. This type of a network is called an information network. The World Wide Web is the most prominent current example of such a network, and although the use of information networks has a long history, the growth of the Web truly brought such networks to widespread public awareness. Some basic ideas from graph theory are used, including short paths and giant components, formulating notions of power in terms of the underlying graph structure and even drawing connections to matching markets when we consider some of the ways in which search companies on the Web have designed their businesses. Because the Web plays such a central role in the modern version of this topic, we begin with some context about the Web, and social media in particular, and then look further back into the history of information networks that led up to the Web.

With more than 4,100 properties in over 90 countries, Accor Hospitality was facing pressure to increase customer satisfaction and quality of service in the midst of an economic downturn. To handle the situation, it turned to Synthesio, a global, multi-lingual social media monitoring and research company, to examine the more than 5,000 customer opinions that are posted about Accor's various brands each month on travel sites. Accor saw its main challenge as being able to quickly identify customer dissatisfaction and then correct problems at their source. Synthesio created a tool specially designed to track the online reputation of 12,000 hotels, including both Accor's and its competitors'. It quickly revealed a number of problems that Accor's customers were experiencing. For example, room keys were being de-magnetized by customers' smart phones. Accor was then able to work with its room key supplier to quickly fix the problem. On top of this, Accor was able to set up a rewards and training program that encouraged individual hotels to connect with customers through online conversations. Within one year of hiring Synthesio, the Novotel brand within the Accor group experienced 55% growth in positive feedback in online posts as well as a huge decrease in the number of negative comments.

international journal for research in applied science and engineering technology ijraset, 2020

Over the last few years, the use of social media in our everyday lives has skyrocketed. The availability of good hardware devices at affordable prices and an increase in connectivity with lower data rates at most public places has made people increasingly use social media sites. Social networking sites like Twitter, LinkedIn, Facebook, Instagram, etc. are continually developing their products to make them addictive, engaging and convenient to use for people of any age or linguistic group. All of this results in a huge chunk of data that people around the world are generating at any moment. The huge size data is one of these top-scale corporations' most valuable assets. About 2.5 quintillion bytes of data was generated every day from the usage of social media sites in 2018, and it is increasing exponentially as a result of the Internet of Things. Also, 90 percent of this data was produced only in the last 3 years. Organizations make use of this data by analysing it using different methods and generating insights into context from the same. The observations arising from this are often used for different purposes.

Social media analytics plays an important role in e-commerce for retrieving the useful information of a product or service. Sentiment Analysis has become the key function of social media analytics. Opinion Mining is to used to analyze the polarity of sentiment expressed in data .Taking the data flood from online social media, in its many forms, and transforming it into useful knowledge for strategic decision making is the backbone of this paper. The paper proposes a model for doing customer review analytics on social media using big data for improving target advertising and improved business decision making.

IRJET, 2020

Social media is a well-known platform for user to create, share and check the new information which is being updated on a daily basis. The world has become a global village because of the utilization of the internet and social media like Facebook, Twitter and various other social media sites. These platforms have become a wide source of growth and spreading of daily opinions related to feelings, thoughts, and moods, and also what is going on in today's world. Sentiment-Analysis is a combination of two words Sentiment and Analysis. Any opinion of an individual through which the feelings, attitude, and thoughts can be expressed is known as sentiment. The process of recognizing and classifying general public opinions, about any topic expressed in any piece of text, or in social media especially in order to determine whether the writer's attitude towards a particular topic, product, is negative, positive or neutral is known as analysis. Twitter, being the most popular micro-blogging social site is used to collect data to perform analysis. As Twitter's special and unique infrastructure and almost, total availability of its data, ensured its high popularity among researchers. Twitter is the most popular platform, when it comes to social media research both in academics and in industry; no other social media website has attracted as much attention from academics or industry. Twitter has an open infrastructure which allows any user to follow another user, and it provides almost 100% of its data through its API (Application Program Interface). This survey paper briefs about studies and approaches which are being used in ongoing project of developing fact extraction technology on social media analysis of tweeter data. This survey paper brief about recent studies or approaches which have been used in social media analysis using the twitter data.

Journal of Information Systems and Technology Management, 2021

Nowadays, Social Media communication has become indispensable for the world. Social Media is indeed a paradigm shift in communication. The beauty of this new communication method is the offer of virtual connectivity irrespective of geographical distances. The medium serves us pictures, rich textual content, videos, and audio 24/7 online. Given its wide usage, it is highly crucial to study key details of social media, including the pioneers, theories, and business applications. This manuscript has relied on the "Web of Science" database and the Vantage Point 9 text-mining tool, with Aduna map visualization, to collate about 50 research articles published during 2008-2016 that have studied social media in detail. The objective of this article is to explain the impact of social media sites, technologies, and applications.

2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2012

The Web is a huge virtual space where to express and share individual opinions, influencing any aspect of life, with implications for marketing and communication alike. Social Media are influencing consumers' preferences by shaping their attitudes and behaviors. Monitoring the Social Media activities is a good way to measure customers' loyalty, keeping a track on their sentiment towards brands or products. Social Media are the next logical marketing arena. Currently, Facebook dominates the digital marketing space, followed closely by Twitter. This paper describes a Sentiment Analysis study performed on over than 1000 Facebook posts about newscasts, comparing the sentiment for Rai -the Italian public broadcasting service -towards the emerging and more dynamic private company La7. This study maps study results with observations made by the Osservatorio di Pavia, which is an Italian institute of research specialized in media analysis at theoretical and empirical level, engaged in the analysis of political communication in the mass media. This study takes also in account the data provided by Auditel regarding newscast audience, correlating the analysis of Social Media, of Facebook in particular, with measurable data, available to public domain.