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Twitter sentiment analysis: how to hedge your bets In the stock markets

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Cover of 'Twitter sentiment analysis: how to hedge your bets In the stock markets'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 A Randomized Approach for Structural and Message Based Private Friend Recommendation in Online Social Networks
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    Chapter 2 Context Based Semantic Relations in Tweets
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    Chapter 3 Fast Exact and Approximate Computation of Betweenness Centrality in Social Networks
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    Chapter 4 An Agent-Based Modeling Framework for Social Network Simulation
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    Chapter 5 Early Stage Conversation Catalysts on Entertainment-Based Web Forums
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    Chapter 6 Predicting Users Behaviours in Distributed Social Networks Using Community Analysis
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    Chapter 7 What Should We Protect? Defining Differential Privacy for Social Network Analysis
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    Chapter 8 Complex Network Analysis of Research Funding: A Case Study of NSF Grants
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    Chapter 9 A Density-Based Approach to Detect Community Evolutionary Events in Online Social Networks
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    Chapter 10 @Rank: Personalized Centrality Measure for Email Communication Networks
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    Chapter 11 Twitter Sentiment Analysis: How to Hedge Your Bets in the Stock Markets
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    Chapter 12 The Impact of Measurement Time on Subgroup Detection in Online Communities
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    Chapter 13 Spatial and Temporal Evaluation of Network-Based Analysis of Human Mobility
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    Chapter 14 An Ant Based Particle Swarm Optimization Algorithm for Maximum Clique Problem in Social Networks
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    Chapter 15 XEngine: An XML Search Engine for Social Groups
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    Chapter 16 Size, Diversity and Components in the Network Around an Entrepreneur: Shaped by Culture and Shaping Embeddedness of Firm Relations
  18. Altmetric Badge
    Chapter 17 Content Mining of Microblogs
Overall attention for this book and its chapters
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Mentioned by

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1 X user

Citations

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8 Dimensions

Readers on

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110 Mendeley
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Title
Twitter sentiment analysis: how to hedge your bets In the stock markets
Published by
Springer International Publishing, January 2014
DOI 10.1007/978-3-319-05912-9
ISBNs
978-3-31-905911-2, 978-3-31-905912-9
Authors

Rao, Tushar, Srivastava, Saket

Editors

Can, Fazli, Özyer, Tansel, Polat, Faruk

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Iran, Islamic Republic of 2 2%
Brazil 2 2%
North Macedonia 1 <1%
Zambia 1 <1%
Turkey 1 <1%
Peru 1 <1%
United Kingdom 1 <1%
China 1 <1%
United States 1 <1%
Other 0 0%
Unknown 99 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 26%
Student > Master 23 21%
Researcher 11 10%
Student > Bachelor 9 8%
Student > Doctoral Student 7 6%
Other 23 21%
Unknown 8 7%
Readers by discipline Count As %
Computer Science 41 37%
Social Sciences 23 21%
Engineering 8 7%
Business, Management and Accounting 7 6%
Economics, Econometrics and Finance 7 6%
Other 15 14%
Unknown 9 8%