Social Media, Text Analytics
Study on Ascendancy of Social Media Analytics
... The social media analytics software can collect and classify huge amount of data, though it cannot understand human mindset, thought and ...of social media analytics is a ...
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The Effectiveness Of Social Media Content Marketing Towards Brand Health Of A Company: Social Media Analytics
... years, social media influence most of the people in the world as well as in rural areas also people are familiar to use social media to connect with ...using social media are ...
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Research Aids for Social Media Analytics
... (NLP), text analytics, computational linguistics, and biometrics in identifying, extracting, quantifying and studying the affective states and subjective information [13] to capture the emotion of the ...
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A Survey of Text Mining in Social Media: Facebook and Twitter Perspectives
... textual text that is written by human beings. Text mining reads an unstructured form of data to provide meaningful information patterns in a shortest time ...period. Social networking sites are a ...
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Social Media Analytics for E-commerce Organisations
... This paper has focused on the process of opinion mining using text analytics and discussed briefly about the challenges in opinion mining.[3] It is much needed for a company to know the opinions of users ...
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SOCIAL MEDIA ANALYTICS − A UNIFYING DEFINITION, COMPREHENSIVE FRAMEWORK, AND ASSESSMENT OF ALGORITHMS FOR IDENTIFYING INFLUENCERS IN SOCIAL MEDIA
... SMA can provide useful insights for developing and/or refining marketing/sales strategies. Kurniawati et al. (2013) note that most (i.e., 75%) of the reported vendor success stories concern market strategy improvements; ...
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Sentimental Analysis for Political Activities from Social Media Data Analytics
... A target dependent sentiment classification approach [6] is proposed usingtwitter which takes a target as a query from user. According to query, they collected tweets related to that entity and performed sentiment ...
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Proceedings of the Workshop on Information Extraction and Entity Analytics on Social Media Data
... language text at the level of “who did what to whom, when and where”), information extraction (identifying events, entities and relations), and textual entailment (determining whether one utterance is a likely ...
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A CASE STUDY ON DELHI MCD ELECTION PREDICTION USING SOCIAL MEDIA ANALYTICS
... The people messages on Twitter have relevant information related political parties besides messages have special characters, symbols etc. Thus data collected needs to be cleaned by removing special characters, symbols ...
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A Survey on Predictive Analytics Integrated with and Social Media
... Social media analytics and predictive analytics with text data as the source to be analyzed use sentiment analysis as the basis of ...predictive analytics integrated with ...
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Neural Network in Big Data Analysis
... data analytics is to support companies make more useful business decisions by enabling data scientists, predictive modellers and other analytics professionals to analyze large volumes of transaction data, ...
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A Conceptual Based Approach in Text Mining: Techniques and Applications
... data. Text Mining is a novelarea that attempts to extract eloquent information from normal language ...examining text to retrieve information that is valuable for a particular ...databases, text is ...
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Guide to tools for social media & web analytics and insights
... The most common filter to add is a text filter. You can choose to filter only in specific platforms (the top row of the screenshot above) or on any component of that platform (the second row). Typically you will ...
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Big Data & Analytics: Security and Privacy challenges in Social Media
... 2. Variety: The next characteristic of big data is variety. Today data available in different types of formats (ex. Structural Data and Unstructured data). Structural data such as numeric data in traditional data bases ...
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Social media analytics for future oriented policy making
... implement social listening and measurements programs” [32] based on user-generated public content (such as postings, comments, conversations in online forums ...on social media are conducted manually ...
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Application Of Information Science With Social Media Analytics: A Sentimental Analysis
... Data analytics refers to both quantitative & qualitative methods, procedures used to upgrade efficiency to the business and it,s gain as ...Data analytics is otherwise called data ...whereas text ...
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G SMAC (Social, Mobile, Analytics and Cloud Computing) A Paradigm Shift in E Governance Agility
... and media. The unstructured text data includes feeds, blogs, social media interaction and ...on Social media generates high volume of data, which, again cannot be handled by ...
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Big Data Analytics, Contexts of Oral Literature and Decision Making Processes: Rethinking Software Archiving In Post-Colonial Digital Humanities
... In social media analytics, the goals are to gather insights from customers, evaluate digital marketing campaigns, discover new ideas, identify social influencers, and identify popular ...
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A Predictive Methodology for Analysis of Social Media Influence in Brand Building
... Client slants are frequently helpful in understanding client feeling about the brand and its items and administrations. Internet based life showcasing is more about impact promoting. Online networking patterns are ...
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Digital Networks of Political Action
... 8 others identified in the study, would not exist in isolation but would instead form a complex network of political discussion and interaction which includes end-points where action occurs. The network, or networks, are ...
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