Social Media Analytics for Business

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CIS7029 Social Media Analytics for Business

Assessment Title:

Social Media Analytics for Business in Technology

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Abstract

Purpose

The social media analytics is the emerging field which is for allowing the business to improve the performance management initiatives for different business functions.Assignment 1

Design/Methodology

The information is based on the conduct of the white box testing methodology where the information is overloaded with suppressing into the structured data stored in the database.

Findings

The results are of the social media platform with the anti-scraping techniques which could be used for handling the scraping techniques. The strategies are related to the prevention of scraping systems which is regularly randomized with the HTML IDs and the CSS class names.

Social and Business Implications

The building of prototype scraper includes dynamic content which is for the pop up asking for the consent and then storing the cookies with limitations. It includes the framework with Selenium with websites analysing the prototype with loading the comments. The simulation of user interaction is for the research groups with prototype involved in the dynamic web page which is for the method of scraping and dismissing the pop ups or splashing the screens or loading the comments in the threads.

Research Limitations

The limitation and implication of the scraping is though generalizing the case where the scraping or crawling with the implementation of the anti-scraping techniques.

Table of Contents

Introduction

The social media analytes is the emerging factor that helps organization to formulate and then implement the different techniques of measurement. It is the insight from the social media interaction that involves the evaluation of success for the social media initiatives. The programs are for the improvement of performance management with using the different business functions. The conceptual process of social media analytics and business intelligence involves the expert panels that is conducted through different processes. The approach of the social media channels is to handle the workflow of business with formulating and implementing the techniques of measurement. The social media analytics is the emerging field which is for allowing the business to improve the performance management initiatives for different business functions. The effectiveness of promotional campaigns includes the effectiveness that is for providing the different line of business like marketing, sales and customer relations. The measures are for the effectiveness of promotional campaigns with gathering the insights for the customer needs and preferences which tend to discern the perceptions of brand or obtaining feedback about customer needs. The feedback is about the capturing of data on the market trends with social media analytics which includes the public relations and development of product. The recognized benefits are for the wider range of offerings which helps in focusing on the adoption, implementation and then institutionalizing the methodologies with proper techniques of the social media analytics program.

The recognized benefits are for the wider range of offerings with technologies and capabilities to work with the predictive capabilities of social media initiatives and also for the higher level of strategic objectives. The social media includes the business use case and then constituting the practices of social media which helps in adopting to the technologies and processes for enabling the media analytics in the organization. The social media is for the online channels and platforms to facilitate the collaborative creation.

Designing and Discussion of the tools and API

Social Data scrapping

The web is the every changing big source of data which is for handling the data with avoiding the amount of traffic where the scraping incurs. Hence, the web scraper is the system which is able to send the HTTP request for the given web page and then receive the valid response which contains the HTML It is then parsing the content for the HTML with the specific information where the comments are there in the post of social media. With this, the crawlers tend to collect the metadata which concerns the pages and these do not collect the much of the raw data with every individual involved with the functionality that involves the components for scraping the web page. The big challenge is about handling the dynamic content to load on user interaction rather than including in the HTTP response. The important events are for the risks management with using the facets that are related to dynamic pages that can load content not only the original HTTP request but also the interactions with the user (Sivarajah et al., 2020). Hence, the entire process includes the factors with a screening about the dynamic pages which is for the scraping of social media websites. The different techniques are about the implementation works which involves the structured experiments that could be used for the scraping dynamic content with the traditional static content to determine on the efficiency. The crawling component is found through the web crawlers which is interchanging and then there are hyperlinks in the web page which is retrieved from the URL. Hence, the visits of the hyperlinks are for the retrieving of web page in the recursive manner. The system does not need to consider about the web page with the breadth of the first crawling strategy. The scraping is about the static web pages which is for determining on the crawling systems that leads to the development of the dynamic web crawler. The scraping includes the resources with the crawler component which is then passed with the scraping component through extracting the content of the web page which is associated through following the DOM and then understanding the ordered tree.

The XML documents are for the working on HTML with XPath that allow the user to select the nodes in the ordered document and in the readable manner. The prevention strategies of scraping systems includes the prohibition from the websites with the terms of services or through setting the security measures (Laurell et al., 2019). The web scraping is employed with the scrapers and the search engines like the Google. There is a need to fill the task of indexing and then categorizing the pages of web. It includes the tasks of indexing and then categorizing the same. Not only this, it also includes the scrapers and crawlers which are for the archival purposes and is then employed through the internet archive. The sentiment analysis is by the business with brand opinions which involves the extraction of data and information from the web and includes the research and other learning activities. When extracting the information from the networks and forums, there is a possibility of handling personal information. The legal aspects includes the scraping project with handling the aggregation of information on the website with no copyright issue and tickets. The scraping involves the public with unencrypted data which is due to the inconsistencies of the case law. The other aspects of the traffic scraping includes the reduction of negative aspects with the major traffic that includes the Robot Protocol and then remedying the problems. The crawlers involves the specific rules in the honeypot with the forbidden rules (Xiang et al., 2017).

Literature Review

The relevant information is about the web scraping techniques or methods where there are web changing detection and price comparing on the online websites. Not only this, there are changes through the unstructured data which is then validated into the form of database. The collection of data, storing and validation is important for better information. The web scraping library is for the user needs with discovery and analysing the usage patterns to concern on the needs related to applications of web. The technique makes use of the server log data and then generate the user navigation pattern through website structure format of redesigning. The Facebook and the Instagram developments of API are involved with the web scraping application with the decoding of the encrypted messages which are for the sensitive information that tends to remain protected. The collection of digital information includes API which has the metadata and then there are permissions for the companies to write automated tools, and then clean or analyse the data sets with observing the human social interactions. The approach is about collecting the digital data with the use of automated systems. Hence, the web services are for the technical and legal tools for accessing the data legitimately. The web services are for the Facebook requiring to handle the standards with the authentication and then accepting the cookies which are well-documented libraries as well. Not only this, there are web scraping languages which involves the web address and websites that tend to service information in the statistical manner. It also offers the power and flexibility to allow and then put the datasets which are not possible to create otherwise. The web scraping comes through the high degree of complexity and risks where there is a need to collect social data people to generate on the daily basis. The scraping of data is from social media with the tools and techniques involved in harnessing the brand awareness. Not only this, there is a customer sentiment measures which are for analysing the customers for measuring the tones, contexts and the insights for the upcoming campaigns. The target market segmentation is about analysing the social media dataset enables to the market for the product and services (He et al., 2017).

The online branding monitoring is for the customer services, sales processes and the social engagement which helps in marking the marketing trends and then identifying about the tracking industry influencers and the publications. The analytics is based on the online channels with the facilitation of collaborative creation and the dissemination of information. The interactive, user generated and the collaborative approach includes the social networks with blogging, bookmarking and the sharing of media. The categories are listed with differentiating the channels for the computer mediated communication. It involves the sharing and collaborating the individuals and social network for the friends and the followers.

Research tools and methods

The research tools and the methods are for the user search information where the information is presented and the extraction method is for the web scraping which is by the API and the Twitter. The information is based on the conduct of the white box testing methodology where the information is overloaded with suppressing into the structured data stored in the database. Hence, the research is for the automated and the scheduled scraping technique with business or applications running in the automatic manner. It involves the web applications which can be easily accessed from anywhere with any device that is automated as well with scheduled scraping. The social behaviour has been shifting to the digital media services with Gmail for email and the skype for the phone calls. It includes digitalization of the social life with offering the researchers about the world of data and then studying systems about the social standards (Rathore et al., 2017). The privacy has led to the strong government regulations with data that is accessed and stored. The companies are involved with erecting the barriers to the data with the regulations to involve data sharing and data breach. The access is for application programming interface which tends to curate the data available through API which is seen to be shrinking. The approach is based on the institutional review with automated access for the data. The company terms of services regulate the automated data access and restrictions which are for the automated computer scripts as well.

The approach is based on the business intelligence where the social media analytics program is considered to be the part of the intelligence practice. It is for the methods and procedures which adapts to the business intelligence. Hence, the processes are for acquiring and then analysing to the dissemination of information for the business decision making. Not only this, there are KPI methods for the high level consideration of business. Not only this, the research is also for the improvement of customer satisfaction with retention that is for formulating and then periodizing the social media measurement initiatives. The organization tends to focus on the social media analytics that is for handling the benchmarks at the different levels and then there are practices or processes which are for reporting the metrics and the trends over the time (Dong et al., 2020). It is for the participants who are involved with the conversations and then including the conceptual underpinnings for proper business orientation. The qualitative data is for the study of data that is collected with the online expert panel sessions which consists of the participants and the selection is mainly in the field of the social media with the industrial experience. The recruitment is mainly through the discussion forums and the practice groups which are for the different operational level exposures to the social media analytics. The sessions of online panel are facilitated through the hosted solution that provides the group support functionality with the strategic development. It is for the nominal group technique which allow the participants to create the list of ideas and then submit the discussions for the discretion. The discussions are for encouraging the other passive group members and then resulting in periodizing the solutions. The panel sessions of the expert is for the gathering of information from the participants with the findings that are for handling the lack of business strategy.

Results of visualization

The results are of the social media platform with the anti-scraping techniques which could be used for handling the scraping techniques. The strategies are related to the prevention of scraping systems which is regularly randomized with the HTML IDs and the CSS class names. The analysis is based on the times per day and week where the user visits the website. Not only this, the anti-scraping techniques includes frequency analysis with the interval that are for the purpose of scraping and then handling the IP failures of CAPTCHA which is being put on the blacklist. The solution for the user of the scraper is to define on the randomized interval with requests to handle the eventual interval analysis. Hence, the other option is to limit the pages of scraper which is then allowed to visit in a day. Hence, the system will then be monitored through ordering and discovering if the IP is put in the blacklist. The structure of the conversations is based on the community sharing the social media platform with the structure that involves the timestamp which is the system of reactions to the post. The terminology includes the tree data structure with scraping systems for the different platforms of the social media. The structure needs to be maintained with scraping data and then handling the tree structure. The selection of nodes in conversation with the traversing of the methods with dynamic content. The scraping content is for requesting the page with HTML to receive and then intend to scrape where the structure of the page is to imitate the human interaction in the element of interest. Hence, the web drivers are for the development with obscured elements that are set without GUI and increasing performance and decreasing the usage of memory. The elements are set with the dynamic filling with more threats with scraping of HTML with allowing to automatically accept the cookies or interacting with the splash screen (He et al., 2017).

The dynamic content includes the scraping static content with orders of magnitude as per the test. The pre-processing is needed with elements that are for exposing to the HTML mark-up. The avoidance is at the use of low bandwidth versions of the website. The scraper is for allowing easy scheduling with setting the visit frequency to what the suits of the target website. The findings are based on the lack of the group techniques with allowing participants who are involved with the handling of processes and technologies. The organization needs to be put for the concerted efforts with analytics in the context of the business. The social media measures are for the analytics with the testing through enabling use cases and the key performance indicators. The choices are set for the panellists with current sites of the software that involves selection of the engagement like the influence, sentiment and the reach. The business is involved with the plausible link with the sales revenue and then focusing on reaching the metrics and the marketing professionals who are working with the digital marketing campaigns. The social media measurements are for the questions which are for the executive level management with the demands for social media to uncover and then define the ROI. The social media analytics is based on developing the formalizing research action plan for the social media analytics with the programs. This is for potential to provide the real time feedback and the actionable insights with improving the tactical execution like the engagement of activities (Thelwal, 2018). The social media has been involved with handling the portal of connecting the different group of people for the online platform. The decisions are based on the social media performance with the information visualization that is for creating the depictions of social interaction. The capturing is through sensors with implicit behaviour for the diversified spaces. The visualization is based on the social network visualizer which is a cross platform that is for the handling of tools of analysis and the visualization of the social networks. The advanced link analysis, data visualization includes multi-level links among the different entities and models which is for the network analysis of the statistical modelling of the networks. The data visualization includes the chronological overview with supporting the different timeline that is for mining the data from structured and unstructured sources. The technology has been improving where Apple and Samsung has been involved with the less time frame. Hence, the domains are for the digital marketing which is for handling the range of the use and then restricting the domain. It enables the users to generate the content of the knowledge. The marketing is important with the products that are marketed which includes the reviews about the interactive versions of cloud. There are differences which includes the words related to camera and photography. The Samsung and Apple has been involved with focusing on the e-government and the politics.

Analysis and Discussion

The building of prototype scraper includes dynamic content which is for the pop up asking for the consent and then storing the cookies with limitations. It includes the framework with Selenium with websites analysing the prototype with loading the comments. The simulation of user interaction is for the research groups with prototype involved in the dynamic web page which is for the method of scraping and dismissing the pop ups or splashing the screens or loading the comments in the threads. Not only this, the approach is for the porotype where there is a need of the time to scrape a page and then test prototype. The approach is about the web driver with small archiving purposes with archiving the few times and the conversations that are limited like archiving and then handling the conversation which is for the limited conversations. The architecture involves the headless browser approach with the dynamic content which is for the focused element in the system of scraping where the conversations and subtrees are met with specific criteria. The analysis for Apple and Samsung includes the framework with the data that is based on the creation of descriptive events. Hence, the analysis is to monitor and then analyse the customer views and interactions. It is for the information, persuasion and collaboration where the focus is on generating the information about the customer views and interactions. The technology has been changing where there are add on applications with integration on the cloud based infrastructure (Grover et al., 2018). The stages are set for writing the code or test classes, testing of the scale and the sandbox testing and the deployment. The feature has been effective for the development of applications without installing the SDK platforms. Hence, the focus is on platforms with the different customers working on improving the results of customer retention. The social media strategies are related to the advertising of materials with major success that results in leading conversions. Hence, the sustainability frameworks are for the B2B with minimal references that is for the marketing obligative. Hence, there is a need to express the opinions in the feedback form where there is a need to bring the managers of the firms together and virtually with allowing proper discussions about how the customers tend to understand the firms. The sustainability is based on the management and the opportunities are for reinventing the processes of business like the engagement of employees and reducing the human involvement with the lesser energy consumption. It involves the optimization research with providing patterns for operating models and improving business performance in the effective manner. The web based technologies includes the participatory web which is for improving the intensity of the competition in the market (Stieglitz et al., 2018).

Limitations and Implications

The limitation and implication of the scraping is though generalizing the case where the scraping or crawling with the implementation of the anti-scraping techniques. It includes the defining of the rules with the robot texts that are for preventing the scraping from occurring and then handling potential arms race between the scrapers and the anti-scraper technique. The argument is about the production of positive outcomes with ethical standards from consequentialist ethical framework. The evaluation metrics are for the scraping static web page with HTTP requests and then parsing content of HTML. Not only this, there are dependency on the network capacity of the server with distance in between the local environment and server. With this, there are issues which are for the anti-scraping techniques with dynamic loading of content and considering on the legal and ethical aspects of the scraping. The research is about the web page where the consideration is on the Facebook and Twitter where the targets are about the limits of generalizability of research. The trends are for social media and new technologies of web which might be changing over the time. The social community needs to plan about the platforms like Twitter with quick dissemination of information which is important for the business and then to save the costs. The real time stream of messages is through the microblogs which is considered an important element for the participants (Brandt et al., 2017). The research includes the questions with qualitative research and exploratory tools which is for gaining the in-depth into the processes. The research also includes the additional interviews which fails to provide any of the insights for the study areas. The origins, and the operations are for the market structured questions where the interview needs to be taken about how the personal connections are set with research teams. The recommendations are related to generating meaning from data with thematic analysis and visualization. The presence is about the subordinates who are involved with the detecting of opportunities and strengthening collaboration or changed perceptions. The underlying role is about the interactions with stakeholders emphasizing on the web based interactions and analytics to identify about the perspectives of stakeholders.
Conclusion & Recommendation

The study highlights about the web based technology which supports the research indicators about the models which associate to the business sustainability. The business models are involved with the leverage of new technologies with participatory web for seeking the sustainability of business. Not only this, the operations and marketing are for modelling the techniques which are for business functions and social media analytics. The sustainability is set through mapping capabilities for the web technologies and the use of business functions. It is then set for the intelligent web which is for integrating the two functions. The social media analytics for the technology of Apple and Samsung has been evolving with business practices that drives the technology oriented standards. It includes the generation of opportunities for the company in the B2B domain with the engaging of functions and then handling the marketing or operations which will lead to the sustainability objectives of the firm (Garg et al., 2020). The big data and social media is to enable the B2B company for becoming profitable and then work on the strategic operations that needs to be carried out with social media analytics and then allowing the organization to work with the service proposition. There is a need to make use of such tools which support the marketing functions with making the firm completely approachable. Hence, it tends to evoke the expression of emotion and motivation. The social media involved the key challenges which is based on the enablement and engagement with stakeholder handling and allowing the exchange of information with creating opportunities and operations (Goncalves, 2017). The limitations are related to the theoretical research with future standards that includes the business to business with stronger empirical and the theoretical underpinning.

References

Brandt, T., Bendler, J. and Neumann, D., 2017. Social media analytics and value creation in urban smart tourism ecosystems. Information & Management54(6), pp.703-713.

Dong, J.Q. and Yang, C.H., 2020. Business value of big data analytics: A systems-theoretic approach and empirical test. Information & Management57(1), p.103124.

Garg, P., Gupta, B., Dzever, S., Sivarajah, U. and Kumar, V., 2020. Examining the relationship between social media analytics practices and business performance in the Indian retail and IT industries: The mediation role of customer engagement. International Journal of Information Management, p.102069.

Gašpar, D. and Mabić, M., 2017. Strengths and Limitations of Social Media Analytics Tools. In Applying Predictive Analytics Within the Service Sector (pp. 198-219). IGI Global.

Gonçalves, A., 2017. Social Media Analytics Strategy: Using Data to Optimize Business Performance. Apress.

Grover, P., Kar, A.K. and Davies, G., 2018. “Technology enabled Health”–Insights from twitter analytics with a socio-technical perspective. International Journal of Information Management43, pp.85-97.

He, W., Tian, X., Tao, R., Zhang, W., Yan, G. and Akula, V., 2017. Application of social media analytics: a case of analyzing online hotel reviews. Online Information Review.

He, W., Wang, F.K. and Akula, V., 2017. Managing extracted knowledge from big social media data for business decision making. Journal of Knowledge Management.

Holsapple, C.W., Hsiao, S.H. and Pakath, R., 2018. Business social media analytics: Characterization and conceptual framework. Decision Support Systems110, pp.32-45.

Laurell, C., Sandström, C., Berthold, A. and Larsson, D., 2019. Exploring barriers to adoption of Virtual Reality through Social Media Analytics and Machine Learning–An assessment of technology, network, price and trialability. Journal of Business Research100, pp.469-474.

Lee, I., 2018. Social media analytics for enterprises: Typology, methods, and processes. Business Horizons61(2), pp.199-210.

Rathore, A.K., Kar, A.K. and Ilavarasan, P.V., 2017. Social media analytics: Literature review and directions for future research. Decision Analysis14(4), pp.229-249.

Sharma, N., Sawai, D. and Surve, G., 2017, February. Big data analytics: Impacting business in big way. In 2017 International Conference on Data Management, Analytics and Innovation (ICDMAI) (pp. 111-116). IEEE.

Sivarajah, U., Irani, Z., Gupta, S. and Mahroof, K., 2020. Role of big data and social media analytics for business to business sustainability: A participatory web context. Industrial Marketing Management86, pp.163-179.

Stieglitz, S., Mirbabaie, M., Ross, B. and Neuberger, C., 2018. Social media analytics–Challenges in topic discovery, data collection, and data preparation. International journal of information management39, pp.156-168.

Thelwall, M., 2018. Social media analytics for YouTube comments: Potential and limitations. International Journal of Social Research Methodology21(3), pp.303-316.

Xiang, Z., Du, Q., Ma, Y. and Fan, W., 2017. A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism. Tourism Management58, pp.51-65.

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