Sentiment Analysis in Social Networks

Written By Federico Alberto Pozzi
Sentiment Analysis in Social Networks
  • Publsiher : Morgan Kaufmann
  • Release : 06 October 2016
  • ISBN : 0128044381
  • Pages : 284 pages
  • Rating : 4/5 from 21 reviews
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Read or download book entitled Sentiment Analysis in Social Networks written by Federico Alberto Pozzi which was release on 06 October 2016, this book published by Morgan Kaufmann. Available in PDF, EPUB and Kindle Format. Book excerpt: The aim of Sentiment Analysis is to define automatic tools able to extract subjective information from texts in natural language, such as opinions and sentiments, in order to create structured and actionable knowledge to be used by either a decision support system or a decision maker. Sentiment analysis has gained even more value with the advent and growth of social networking. Sentiment Analysis in Social Networks begins with an overview of the latest research trends in the field. It then discusses the sociological and psychological processes underling social network interactions. The book explores both semantic and machine learning models and methods that address context-dependent and dynamic text in online social networks, showing how social network streams pose numerous challenges due to their large-scale, short, noisy, context- dependent and dynamic nature. Further, this volume: Takes an interdisciplinary approach from a number of computing domains, including natural language processing, machine learning, big data, and statistical methodologies Provides insights into opinion spamming, reasoning, and social network analysis Shows how to apply sentiment analysis tools for a particular application and domain, and how to get the best results for understanding the consequences Serves as a one-stop reference for the state-of-the-art in social media analytics Takes an interdisciplinary approach from a number of computing domains, including natural language processing, big data, and statistical methodologies Provides insights into opinion spamming, reasoning, and social network mining Shows how to apply opinion mining tools for a particular application and domain, and how to get the best results for understanding the consequences Serves as a one-stop reference for the state-of-the-art in social media analytics

Sentiment Analysis in Social Networks

Sentiment Analysis in Social Networks
  • Author : Federico Alberto Pozzi,Elisabetta Fersini,Enza Messina,Bing Liu
  • Publisher : Morgan Kaufmann
  • Release Date : 2016-10-06
  • Total pages : 284
  • ISBN : 0128044381
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Summary : The aim of Sentiment Analysis is to define automatic tools able to extract subjective information from texts in natural language, such as opinions and sentiments, in order to create structured and actionable knowledge to be used by either a decision support system or a decision maker. Sentiment analysis has gained ...

Data Mining Approaches for Big Data and Sentiment Analysis in Social Media

Data Mining Approaches for Big Data and Sentiment Analysis in Social Media
  • Author : Gupta, Brij B.,Perakovi?, Dragan,Abd El-Latif, Ahmed A.,Gupta, Deepak
  • Publisher : IGI Global
  • Release Date : 2021-12-31
  • Total pages : 313
  • ISBN : 0128044381
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Summary : Social media sites are constantly evolving with huge amounts of scattered data or big data, which makes it difficult for researchers to trace the information flow. It is a daunting task to extract a useful piece of information from the vast unstructured big data; the disorganized structure of social media ...

Sentiment Analysis for Social Media

Sentiment Analysis for Social Media
  • Author : Carlos A. Iglesias,Antonio Moreno
  • Publisher : MDPI
  • Release Date : 2020-04-02
  • Total pages : 152
  • ISBN : 0128044381
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Summary : Sentiment analysis is a branch of natural language processing concerned with the study of the intensity of the emotions expressed in a piece of text. The automated analysis of the multitude of messages delivered through social media is one of the hottest research fields, both in academy and in industry, ...

A Big Data Study on the Sentiment Analysis of Social Networks and Nonlinear System Modelling

A Big Data Study on the Sentiment Analysis of Social Networks and Nonlinear System Modelling
  • Author : Youchen Wang
  • Publisher : Unknown
  • Release Date : 2018
  • Total pages : 212
  • ISBN : 0128044381
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Summary : Download or read online A Big Data Study on the Sentiment Analysis of Social Networks and Nonlinear System Modelling written by Youchen Wang, published by which was released on 2018. Get A Big Data Study on the Sentiment Analysis of Social Networks and Nonlinear System Modelling Books now! Available in PDF, ...

Principles of Social Networking

Principles of Social Networking
  • Author : Anupam Biswas,Ripon Patgiri,Bhaskar Biswas
  • Publisher : Springer Nature
  • Release Date : 2021-08-18
  • Total pages : 442
  • ISBN : 0128044381
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Summary : This book presents new and innovative current discoveries in social networking which contribute enough knowledge to the research community. The book includes chapters presenting research advances in social network analysis and issues emerged with diverse social media data. The book also presents applications of the theoretical algorithms and network models ...

Social Network Analytics

Social Network Analytics
  • Author : Nilanjan Dey,Samarjeet Borah,Rosalina Babo,Amira S. Ashour
  • Publisher : Academic Press
  • Release Date : 2018-11-16
  • Total pages : 267
  • ISBN : 0128044381
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Summary : Social Network Analytics: Computational Research Methods and Techniques focuses on various technical concepts and aspects of social network analysis. The book features the latest developments and findings in this emerging area of research. In addition, it includes a variety of applications from several domains, such as scientific research, and the ...

Sentiment Analysis in Social Networks

Sentiment Analysis in Social Networks
  • Author : Federico Pozzi,Elisabetta Fersini,Bing Liu,Enza Messina
  • Publisher : Morgan Kaufmann Publishers
  • Release Date : 2016-10-01
  • Total pages : 242
  • ISBN : 0128044381
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Summary : The aim of Sentiment Analysis is to define automatic tools able to extract subjective information from texts in natural language, such as opinions and sentiments, in order to create structured and actionable knowledge to be used by either a decision support system or a decision maker. Sentiment analysis has gained ...

Social Networking and Computational Intelligence

Social Networking and Computational Intelligence
  • Author : Rajesh Kumar Shukla,Jitendra Agrawal,Sanjeev Sharma,Narendra S. Chaudhari,K. K. Shukla
  • Publisher : Springer Nature
  • Release Date : 2020-03-21
  • Total pages : 811
  • ISBN : 0128044381
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Summary : This book presents a selection of revised and extended versions of the best papers from the First International Conference on Social Networking and Computational Intelligence (SCI-2018), held in Bhopal, India, from October 5 to 6, 2018. It discusses recent advances in scientific developments and applications in these areas....

Social Networks Science Design Implementation Security and Challenges

Social Networks Science  Design  Implementation  Security  and Challenges
  • Author : Nilanjan Dey,Rosalina Babo,Amira S. Ashour,Vishal Bhatnagar,Med Salim Bouhlel
  • Publisher : Springer
  • Release Date : 2018-06-18
  • Total pages : 171
  • ISBN : 0128044381
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Summary : The main target of this book is to raise the awareness about social networking systems design, implementation, security requirements, and approaches. The book entails related issues including computing, engineering, security, management, and organization policy. It interprets the design, implementation and security threats in the social networks and offers some solutions ...

Visual and Text Sentiment Analysis through Hierarchical Deep Learning Networks

Visual and Text Sentiment Analysis through Hierarchical Deep Learning Networks
  • Author : Arindam Chaudhuri
  • Publisher : Springer
  • Release Date : 2019-04-06
  • Total pages : 98
  • ISBN : 0128044381
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Summary : This book presents the latest research on hierarchical deep learning for multi-modal sentiment analysis. Further, it analyses sentiments in Twitter blogs from both textual and visual content using hierarchical deep learning networks: hierarchical gated feedback recurrent neural networks (HGFRNNs). Several studies on deep learning have been conducted to date, but ...

Computational Social Networks

Computational Social Networks
  • Author : Hien T. Nguyen,Vaclav Snasel
  • Publisher : Springer
  • Release Date : 2016-07-11
  • Total pages : 356
  • ISBN : 0128044381
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Summary : This book constitutes the refereed proceedings of the 5th International Conference on Computational Social Networks, CSoNet 2016, held in Ho Chi Minh City, Vietnam, in August 2016. The 30 revised full papers presented were carefully reviewed and selected from 79 submissions. The papers cover topics on common principles, algorithms and tools that govern social ...

Social Network Analytics for Contemporary Business Organizations

Social Network Analytics for Contemporary Business Organizations
  • Author : Bansal, Himani,Shrivastava, Gulshan,Nguyen, Gia Nhu,Stanciu, Loredana-Mihaela
  • Publisher : IGI Global
  • Release Date : 2018-03-23
  • Total pages : 321
  • ISBN : 0128044381
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Summary : Social technology is quickly becoming a vital tool in our personal, educational, and professional lives. Its use must be further examined in order to determine the role of social media technology in organizational settings to promote business development and growth. Social Network Analytics for Contemporary Business Organizations is a critical ...

Groups and Interaction

Groups and Interaction
  • Author : Binxing Fang,Yan Jia
  • Publisher : Walter de Gruyter GmbH & Co KG
  • Release Date : 2019-08-05
  • Total pages : 197
  • ISBN : 0128044381
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Summary : The three volume set provides a systematic overview of theories and technique on social network analysis.Volume 2 of the set mainly focuses on the formation and interaction of group behaviors. Users’ behavior analysis, sentiment analysis, influence analysis and collective aggregation are discussed in detail as well. It is an essential ...

Hybrid Intelligence for Social Networks

Hybrid Intelligence for Social Networks
  • Author : Hema Banati,Siddhartha Bhattacharyya,Ashish Mani,Mario Köppen
  • Publisher : Springer
  • Release Date : 2017-11-28
  • Total pages : 327
  • ISBN : 0128044381
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Summary : This book explains aspects of social networks, varying from development and application of new artificial intelligence and computational intelligence techniques for social networks to understanding the impact of social networks. Chapters 1 and 2 deal with the basic strategies towards social networks such as mining text from such networks and applying social ...

Social Network Based Big Data Analysis and Applications

Social Network Based Big Data Analysis and Applications
  • Author : Mehmet Kaya,Jalal Kawash,Suheil Khoury,Min-Yuh Day
  • Publisher : Springer
  • Release Date : 2018-05-10
  • Total pages : 249
  • ISBN : 0128044381
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Summary : This book is a timely collection of chapters that present the state of the art within the analysis and application of big data. Working within the broader context of big data, this text focuses on the hot topics of social network modelling and analysis such as online dating recommendations, hiring ...