Sentiment Analysis In Social Networks

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Sentiment Analysis in Social Networks

Federico Alberto Pozzi,Elisabetta Fersini,Enza Messina,Bing Liu
Sentiment Analysis in Social Networks Book PDF

Author : Federico Alberto Pozzi,Elisabetta Fersini,Enza Messina,Bing Liu
Publisher : Morgan Kaufmann
Page : 284 pages
File Size : 44,8 Mb
Release : 2016-10-06
Category : Computers
ISBN : 9780128044384

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Sentiment Analysis in Social Networks by Federico Alberto Pozzi,Elisabetta Fersini,Enza Messina,Bing Liu Pdf

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 for Social Media

Carlos A. Iglesias,Antonio Moreno
Sentiment Analysis for Social Media Book PDF

Author : Carlos A. Iglesias,Antonio Moreno
Publisher : MDPI
Page : 152 pages
File Size : 43,5 Mb
Release : 2020-04-02
Category : Technology & Engineering
ISBN : 9783039285723

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Sentiment Analysis for Social Media by Carlos A. Iglesias,Antonio Moreno Pdf

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, due to its extremely high potential applicability in many different domains. This Special Issue describes both technological contributions to the field, mostly based on deep learning techniques, and specific applications in areas like health insurance, gender classification, recommender systems, and cyber aggression detection.

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

Brij Gupta,Ahmed A. Abd El-Latif,Dragan Perakovic
Data Mining Approaches for Big Data and Sentiment Analysis in Social Media Book PDF

Author : Brij Gupta,Ahmed A. Abd El-Latif,Dragan Perakovic
Publisher : Unknown
Page : 336 pages
File Size : 49,5 Mb
Release : 2021
Category : Big data
ISBN : 1799884147

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Data Mining Approaches for Big Data and Sentiment Analysis in Social Media by Brij Gupta,Ahmed A. Abd El-Latif,Dragan Perakovic Pdf

"This book explores the key concepts of data mining and utilizing them on online social media platforms, offering valuable insight into data mining approaches for big data and sentiment analysis in online social media and covering many important security and other aspects and current trends"--

Sentiment Analysis in Social Networks

Federico Pozzi,Elisabetta Fersini,Bing Liu,Enza Messina
Sentiment Analysis in Social Networks Book PDF

Author : Federico Pozzi,Elisabetta Fersini,Bing Liu,Enza Messina
Publisher : Morgan Kaufmann Publishers
Page : 242 pages
File Size : 54,9 Mb
Release : 2016-10-01
Category : Electronic
ISBN : 0128044128

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Sentiment Analysis in Social Networks by Federico Pozzi,Elisabetta Fersini,Bing Liu,Enza Messina Pdf

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 methodologiesProvides insights into opinion spamming, reasoning, and social network analysisShows how to apply sentiment analysis tools for a particular application and domain, and how to get the best results for understanding the consequencesServes 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 methodologiesProvides insights into opinion spamming, reasoning, and social network miningShows how to apply opinion mining tools for a particular application and domain, and how to get the best results for understanding the consequencesServes as a one-stop reference for the state-of-the-art in social media analytics

Handbook of Research on Emerging Trends and Applications of Machine Learning

Solanki, Arun,Kumar, Sandeep,Nayyar, Anand
Handbook of Research on Emerging Trends and Applications of Machine Learning Book PDF

Author : Solanki, Arun,Kumar, Sandeep,Nayyar, Anand
Publisher : IGI Global
Page : 674 pages
File Size : 49,8 Mb
Release : 2019-12-13
Category : Computers
ISBN : 9781522596455

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Handbook of Research on Emerging Trends and Applications of Machine Learning by Solanki, Arun,Kumar, Sandeep,Nayyar, Anand Pdf

As today’s world continues to advance, Artificial Intelligence (AI) is a field that has become a staple of technological development and led to the advancement of numerous professional industries. An application within AI that has gained attention is machine learning. Machine learning uses statistical techniques and algorithms to give computer systems the ability to understand and its popularity has circulated through many trades. Understanding this technology and its countless implementations is pivotal for scientists and researchers across the world. The Handbook of Research on Emerging Trends and Applications of Machine Learning provides a high-level understanding of various machine learning algorithms along with modern tools and techniques using Artificial Intelligence. In addition, this book explores the critical role that machine learning plays in a variety of professional fields including healthcare, business, and computer science. While highlighting topics including image processing, predictive analytics, and smart grid management, this book is ideally designed for developers, data scientists, business analysts, information architects, finance agents, healthcare professionals, researchers, retail traders, professors, and graduate students seeking current research on the benefits, implementations, and trends of machine learning.

Sentiment Analysis for Social Media

Carlos A. Iglesias,Antonio Moreno
Sentiment Analysis for Social Media Book PDF

Author : Carlos A. Iglesias,Antonio Moreno
Publisher : Unknown
Page : 152 pages
File Size : 45,8 Mb
Release : 2020
Category : Engineering (General). Civil engineering (General)
ISBN : 3039285734

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Sentiment Analysis for Social Media by Carlos A. Iglesias,Antonio Moreno Pdf

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, due to its extremely high potential applicability in many different domains. This Special Issue describes both technological contributions to the field, mostly based on deep learning techniques, and specific applications in areas like health insurance, gender classification, recommender systems, and cyber aggression detection.

Handbook of Research on Big Data Clustering and Machine Learning

Garcia Marquez, Fausto Pedro
Handbook of Research on Big Data Clustering and Machine Learning Book PDF

Author : Garcia Marquez, Fausto Pedro
Publisher : IGI Global
Page : 478 pages
File Size : 47,9 Mb
Release : 2019-10-04
Category : Computers
ISBN : 9781799801078

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Handbook of Research on Big Data Clustering and Machine Learning by Garcia Marquez, Fausto Pedro Pdf

As organizations continue to develop, there is an increasing need for technological methods that can keep up with the rising amount of data and information that is being generated. Machine learning is a tool that has become powerful due to its ability to analyze large amounts of data quickly. Machine learning is one of many technological advancements that is being implemented into a multitude of specialized fields. An extensive study on the execution of these advancements within professional industries is necessary. The Handbook of Research on Big Data Clustering and Machine Learning is an essential reference source that synthesizes the analytic principles of clustering and machine learning to big data and provides an interface between the main disciplines of engineering/technology and the organizational, administrative, and planning abilities of management. Featuring research on topics such as project management, contextual data modeling, and business information systems, this book is ideally designed for engineers, economists, finance officers, marketers, decision makers, business professionals, industry practitioners, academicians, students, and researchers seeking coverage on the implementation of big data and machine learning within specific professional fields.

Sentiment Analysis and Ontology Engineering

Witold Pedrycz,Shyi-Ming Chen
Sentiment Analysis and Ontology Engineering Book PDF

Author : Witold Pedrycz,Shyi-Ming Chen
Publisher : Springer
Page : 456 pages
File Size : 52,9 Mb
Release : 2016-03-22
Category : Technology & Engineering
ISBN : 9783319303192

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Sentiment Analysis and Ontology Engineering by Witold Pedrycz,Shyi-Ming Chen Pdf

This edited volume provides the reader with a fully updated, in-depth treatise on the emerging principles, conceptual underpinnings, algorithms and practice of Computational Intelligence in the realization of concepts and implementation of models of sentiment analysis and ontology –oriented engineering. The volume involves studies devoted to key issues of sentiment analysis, sentiment models, and ontology engineering. The book is structured into three main parts. The first part offers a comprehensive and prudently structured exposure to the fundamentals of sentiment analysis and natural language processing. The second part consists of studies devoted to the concepts, methodologies, and algorithmic developments elaborating on fuzzy linguistic aggregation to emotion analysis, carrying out interpretability of computational sentiment models, emotion classification, sentiment-oriented information retrieval, a methodology of adaptive dynamics in knowledge acquisition. The third part includes a plethora of applications showing how sentiment analysis and ontologies becomes successfully applied to investment strategies, customer experience management, disaster relief, monitoring in social media, customer review rating prediction, and ontology learning. This book is aimed at a broad audience of researchers and practitioners. Readers involved in intelligent systems, data analysis, Internet engineering, Computational Intelligence, and knowledge-based systems will benefit from the exposure to the subject matter. The book may also serve as a highly useful reference material for graduate students and senior undergraduate students.

Sentiment Analysis

Bing Liu
Sentiment Analysis Book PDF

Author : Bing Liu
Publisher : Cambridge University Press
Page : 451 pages
File Size : 50,8 Mb
Release : 2020-10-15
Category : Business & Economics
ISBN : 9781108486378

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Sentiment Analysis by Bing Liu Pdf

A comprehensive introduction to computational analysis of sentiments, opinions, emotions, and moods. Now including deep learning methods.

Sentiment Analysis and Opinion Mining

Bing Liu
Sentiment Analysis and Opinion Mining Book PDF

Author : Bing Liu
Publisher : Springer Nature
Page : 167 pages
File Size : 42,5 Mb
Release : 2022-05-31
Category : Computers
ISBN : 9783031021459

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Sentiment Analysis and Opinion Mining by Bing Liu Pdf

Sentiment analysis and opinion mining is the field of study that analyzes people's opinions, sentiments, evaluations, attitudes, and emotions from written language. It is one of the most active research areas in natural language processing and is also widely studied in data mining, Web mining, and text mining. In fact, this research has spread outside of computer science to the management sciences and social sciences due to its importance to business and society as a whole. The growing importance of sentiment analysis coincides with the growth of social media such as reviews, forum discussions, blogs, micro-blogs, Twitter, and social networks. For the first time in human history, we now have a huge volume of opinionated data recorded in digital form for analysis. Sentiment analysis systems are being applied in almost every business and social domain because opinions are central to almost all human activities and are key influencers of our behaviors. Our beliefs and perceptions of reality, and the choices we make, are largely conditioned on how others see and evaluate the world. For this reason, when we need to make a decision we often seek out the opinions of others. This is true not only for individuals but also for organizations. This book is a comprehensive introductory and survey text. It covers all important topics and the latest developments in the field with over 400 references. It is suitable for students, researchers and practitioners who are interested in social media analysis in general and sentiment analysis in particular. Lecturers can readily use it in class for courses on natural language processing, social media analysis, text mining, and data mining. Lecture slides are also available online. Table of Contents: Preface / Sentiment Analysis: A Fascinating Problem / The Problem of Sentiment Analysis / Document Sentiment Classification / Sentence Subjectivity and Sentiment Classification / Aspect-Based Sentiment Analysis / Sentiment Lexicon Generation / Opinion Summarization / Analysis of Comparative Opinions / Opinion Search and Retrieval / Opinion Spam Detection / Quality of Reviews / Concluding Remarks / Bibliography / Author Biography

First International Conference on Sustainable Technologies for Computational Intelligence

Ashish Kumar Luhach,Janos Arpad Kosa,Ramesh Chandra Poonia,Xiao-Zhi Gao,Dharm Singh
First International Conference on Sustainable Technologies for Computational Intelligence Book PDF

Author : Ashish Kumar Luhach,Janos Arpad Kosa,Ramesh Chandra Poonia,Xiao-Zhi Gao,Dharm Singh
Publisher : Springer Nature
Page : 847 pages
File Size : 47,9 Mb
Release : 2019-11-01
Category : Technology & Engineering
ISBN : 9789811500299

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First International Conference on Sustainable Technologies for Computational Intelligence by Ashish Kumar Luhach,Janos Arpad Kosa,Ramesh Chandra Poonia,Xiao-Zhi Gao,Dharm Singh Pdf

This book gathers high-quality papers presented at the First International Conference on Sustainable Technologies for Computational Intelligence (ICTSCI 2019), which was organized by Sri Balaji College of Engineering and Technology, Jaipur, Rajasthan, India, on March 29–30, 2019. It covers emerging topics in computational intelligence and effective strategies for its implementation in engineering applications.

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

Gupta, Brij B.,Perakovi?, Dragan,Abd El-Latif, Ahmed A.,Gupta, Deepak
Data Mining Approaches for Big Data and Sentiment Analysis in Social Media Book PDF

Author : Gupta, Brij B.,Perakovi?, Dragan,Abd El-Latif, Ahmed A.,Gupta, Deepak
Publisher : IGI Global
Page : 313 pages
File Size : 52,6 Mb
Release : 2021-12-31
Category : Computers
ISBN : 9781799884156

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Data Mining Approaches for Big Data and Sentiment Analysis in Social Media by Gupta, Brij B.,Perakovi?, Dragan,Abd El-Latif, Ahmed A.,Gupta, Deepak Pdf

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 contains data in various forms such as text and videos as well as huge real-time data on which traditional analytical methods like statistical approaches fail miserably. Due to this, there is a need for efficient data mining techniques that can overcome the shortcomings of the traditional approaches. Data Mining Approaches for Big Data and Sentiment Analysis in Social Media encourages researchers to explore the key concepts of data mining, such as how they can be utilized on online social media platforms, and provides advances on data mining for big data and sentiment analysis in online social media, as well as future research directions. Covering a range of concepts from machine learning methods to data mining for big data analytics, this book is ideal for graduate students, academicians, faculty members, scientists, researchers, data analysts, social media analysts, managers, and software developers who are seeking to learn and carry out research in the area of data mining for big data and sentiment.

Data Analytics in Digital Humanities

Shalin Hai-Jew
Data Analytics in Digital Humanities Book PDF

Author : Shalin Hai-Jew
Publisher : Springer
Page : 295 pages
File Size : 52,9 Mb
Release : 2017-05-03
Category : Computers
ISBN : 9783319544991

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Data Analytics in Digital Humanities by Shalin Hai-Jew Pdf

This book covers computationally innovative methods and technologies including data collection and elicitation, data processing, data analysis, data visualizations, and data presentation. It explores how digital humanists have harnessed the hypersociality and social technologies, benefited from the open-source sharing not only of data but of code, and made technological capabilities a critical part of humanities work. Chapters are written by researchers from around the world, bringing perspectives from diverse fields and subject areas. The respective authors describe their work, their research, and their learning. Topics include semantic web for cultural heritage valorization, machine learning for parody detection by classification, psychological text analysis, crowdsourcing imagery coding in natural disasters, and creating inheritable digital codebooks.Designed for researchers and academics, this book is suitable for those interested in methodologies and analytics that can be applied in literature, history, philosophy, linguistics, and related disciplines. Professionals such as librarians, archivists, and historians will also find the content informative and instructive.

Visual and Text Sentiment Analysis through Hierarchical Deep Learning Networks

Arindam Chaudhuri
Visual and Text Sentiment Analysis through Hierarchical Deep Learning Networks Book PDF

Author : Arindam Chaudhuri
Publisher : Springer
Page : 98 pages
File Size : 48,7 Mb
Release : 2019-04-06
Category : Computers
ISBN : 9789811374746

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Visual and Text Sentiment Analysis through Hierarchical Deep Learning Networks by Arindam Chaudhuri Pdf

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 most of the current methods focus on either only textual content, or only visual content. In contrast, the proposed sentiment analysis model can be applied to any social blog dataset, making the book highly beneficial for postgraduate students and researchers in deep learning and sentiment analysis. The mathematical abstraction of the sentiment analysis model is presented in a very lucid manner. The complete sentiments are analysed by combining text and visual prediction results. The book’s novelty lies in its development of innovative hierarchical recurrent neural networks for analysing sentiments; stacking of multiple recurrent layers by controlling the signal flow from upper recurrent layers to lower layers through a global gating unit; evaluation of HGFRNNs with different types of recurrent units; and adaptive assignment of HGFRNN layers to different timescales. Considering the need to leverage large-scale social multimedia content for sentiment analysis, both state-of-the-art visual and textual sentiment analysis techniques are used for joint visual-textual sentiment analysis. The proposed method yields promising results from Twitter datasets that include both texts and images, which support the theoretical hypothesis.

Analyzing Global Social Media Consumption

Wamuyu, Patrick Kanyi
Analyzing Global Social Media Consumption Book PDF

Author : Wamuyu, Patrick Kanyi
Publisher : IGI Global
Page : 358 pages
File Size : 49,9 Mb
Release : 2020-10-16
Category : Computers
ISBN : 9781799847199

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Analyzing Global Social Media Consumption by Wamuyu, Patrick Kanyi Pdf

Social media has revolutionized how individuals, communities, and organizations create, share, and consume information. Similarly, social media offers numerous opportunities as well as enormous social and economic ills for individuals, communities, and organizations. Despite the increase in popularity of social networking sites and related digital media, there are limited data and studies on consumption patterns of the new media by different global communities. Analyzing Global Social Media Consumption is an essential reference book that investigates the current trends, practices, and newly emerging narratives on theoretical and empirical research on all aspects of social media and its global use. Covering topics that include fake news detection, social media addiction, and motivations and impacts of social media use, this book is ideal for big data analysts, media and communications experts, researchers, academicians, and students in media and communications, information systems, and information technology study programs.