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Sentiment Analysis for Social Media

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Sentiment Analysis and Opinion Mining

is suitable for students, researchers and practitioners who are interested in social media analysis in general and sentiment analysis in particular;

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Social Media Management

CRM, employer branding, e-recruiting, search engine optimization, social mining, sentiment analysis, crowdfunding, and legal and ethical;

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Social Media E Sentiment Analysis

analizza concretamente il sentiment della Rete? Quali sono i pregi e i limiti dei diversi metodi esistenti? E a quali domande possiamo dare una;

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Subjective Well-Being and Social Media

Deals with sample bias and selection bias in social media Reconciles official statistics and big data Language independent sentiment;

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Social Media Management: Technologies and Strategies for Creating Business Value

CRM, employer branding, e-recruiting, search engine optimization, social mining, sentiment analysis, crowdfunding, and legal and ethical;

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Sentiment Analysis and Opinion Mining

is suitable for students, researchers and practitioners who are interested in social media analysis in general and sentiment analysis in particular;

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Sentiment Analysis in Social Networks

. Sentiment analysis has gained even more value with the advent and growth of social networking. Sentiment Analysis in Social Networks begins with an;

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Politics and Big Data

analysis to improve upon them. The authors carry out a meta-analysis of the existing literature to show the conditions under which social media;

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Politics and Big Data

analysis to improve upon them. The authors carry out a meta-analysis of the existing literature to show the conditions under which social media;

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Sentiment Analysis and Knowledge Discovery in Contemporary Business

online collaborative media. However, conducting sentiment analysis on these platforms can be challenging, especially for business professionals;

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QUALITATIVE RESEARCH 2/E

Edition provides a number of updates including more on digital materials and methods, including sentiment analysis of social media data, and;

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Sentiment Analysis

offers numerous research challenges, but promises insight useful to anyone interested in opinion analysis and social media analysis. This;

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Social Media Management

and business models for social media, influencer marketing, viral campaigns, social CRM, employer branding, e-recruitment, search engine;

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Social Media Content Analysis

media were unproven, if not untrue. This problem must be prevented at all cost and as soon as possible. Thus, analysis of social media content;

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Social Computing and Social Media, Human Behavior

mining and sentiment analysis, social data and analytics.;

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Social Computing and Social Media: Applications and Analytics

mining and sentiment analysis, social data and analytics.;

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Learning Social Media Analytics with R

from social media platforms to understand and model complex relationships using various concepts and techniques such as Sentiment Analysis;

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Trading on Sentiment: The Power of Minds Over Markets

- topics, beliefs, and emotions - from social media. Based on that data, they put together a market-neutral social media-based hedge fund that;

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Visual and Text Sentiment Analysis through Hierarchical Deep Learning Networks

content, or only visual content. In contrast, the proposed sentiment analysis model can be applied to any social blog dataset, making the book;

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Sentiment Analysis in the Bio Medical Domain

The abundance of text available in social media and health-related forums and blogs have recently attracted the interest of the public;

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Markets and the Arts of Attachment

contributors explore the tools and techniques used to work with sentiment, aesthetics and relationships through strategies including social media;

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Markets and the Arts of Attachment

contributors explore the tools and techniques used to work with sentiment, aesthetics and relationships through strategies including social media;

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Intelligent Technologies and Applications

and selected from 251 submissions. The papers of this volume are organized in topical sections on AI and health; sentiment analysis;

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Intelligent Technologies and Applications

sections on AI and health; sentiment analysis; intelligent applications; social media analytics; business intelligence;Natural Language Processing;

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Big Data Analytics and Knowledge Discovery

; advanced programming paradigms; non-functional requirements satisfaction; machine learning; social media and twitter analysis; sentiment analysis;

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Mastering Social Media Mining with R

APIs of popular social media sites and extract data * Perform sentiment analysis and identify trending topics * Measure CTR performance for;

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