SML 856 Business Intelligence Linkage Analysis with respect to any social media

SML 856Business Intelligence

Linkage Analysis with respect to any social mediaAnshul GoelAnkur TantiaSomiya JainAbheek TarafdarTarget of StudySocial platform Twitter Methodology Record tweets recevied from various customers for a parituclar brand/product from Twitter and store it in a datasetProblem identification, Target/Scope of StudyProblem Identification Analyze the data to gather insights about consumer attitude towards a particular brand/product through social media platform Estimate the accuracy and usefulness of sentimental analysis so that organizations can make business decisions based on the results obtained.Scope of Study With the advent of Twitter, Facebook and other social platforms, the companies have created their pages to seek the feedback from consumers on their official pages. Consumers post complaints/reviews about their experiences Compaines change their strategies based on the reviewsMethodological ApproachData collection from TwitterLoad dataset into RApply Sentimental AnalysisConclusionSentimental AnalysisDetection of consumer attitude towards a product/servicePositive/NegativeMonitor how people feel over time and how they perceive new announcementsChallenge is to identify whether tweets are positive or negativeSentimental Analysis Bag Of Words Counts the number of times each word appears in the text and uses these counts as independent variables. Preprocessing includes cleaning irregularities as text data may contain irregularities like case sensitiveness, punctuation Then unhelpful words are removed, many words are frequently used but are only meaningful in a sentence called stop words like is, at, which etc. Next step is stemming to represent words with different endings as same word. Example: argued, argues etc are considered as argu. It can be done through rule based algorithm in which words ending with ed, ing or ly have their ending erased

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Referenceshttps://www.cgi.com/sites/default/files/white-papers/Implementing-social-network-analysis.pdf

http://www.theagileelephant.com/social-network-linkage-analysis-lessons-from-the-past-no-3/

http://www.zdnet.com/article/how-social-media-and-big-data-will-unleash-what-we-know/

http://www.smartinsights.com/social-media-marketing/social-media-listening/managing-online-brand-sentiment/