Sentiment Analysis and Knowledge Discovery in Contemporary Business
Sentiment Analysis and Knowledge Discovery in Contemporary Business

Author: Rajput, Dharmendra Singh

Publisher: IGI Global

Published: 2018-08-31

Total Pages: 355

ISBN-13: 1522550003

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In the era of social connectedness, people are becoming increasingly enthusiastic about interacting, sharing, and collaborating through online collaborative media. However, conducting sentiment analysis on these platforms can be challenging, especially for business professionals who are using them to collect vital data. Sentiment Analysis and Knowledge Discovery in Contemporary Business is an essential reference source that discusses applications of sentiment analysis as well as data mining, machine learning algorithms, and big data streams in business environments. Featuring research on topics such as knowledge retrieval and knowledge updating, this book is ideally designed for business managers, academicians, business professionals, researchers, graduate-level students, and technology developers seeking current research on data collection and management to drive profit.

Sentiment Analysis and Opinion Mining
Sentiment Analysis and Opinion Mining

Author: Bing Liu

Publisher: Springer Nature

Published: 2022-05-31

Total Pages: 167

ISBN-13: 3031021452

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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

Cognitive Informatics and Soft Computing
Cognitive Informatics and Soft Computing

Author: Pradeep Kumar Mallick

Publisher: Springer

Published: 2018-08-11

Total Pages: 795

ISBN-13: 9811306176

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The book presents new approaches and methods for solving real-world problems. It offers, in particular, exploratory research that describes novel approaches in the fields of Cognitive Informatics, Cognitive Computing, Computational Intelligence, Advanced Computing, Hybrid Intelligent Models and Applications. New algorithms and methods in a variety of fields are also presented, together with solution-based approaches. The topics addressed include various theoretical aspects and applications of Computer Science, Artificial Intelligence, Cybernetics, Automation Control Theory and Software Engineering.

Opinion Mining and Sentiment Analysis
Opinion Mining and Sentiment Analysis

Author: Bo Pang

Publisher: Now Publishers Inc

Published: 2008

Total Pages: 149

ISBN-13: 1601981503

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This survey covers techniques and approaches that promise to directly enable opinion-oriented information-seeking systems.

Sentiment Analysis
Sentiment Analysis

Author: Bing Liu

Publisher: Cambridge University Press

Published: 2020-10-15

Total Pages: 451

ISBN-13: 1108787282

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Sentiment analysis is the computational study of people's opinions, sentiments, emotions, moods, and attitudes. This fascinating problem offers numerous research challenges, but promises insight useful to anyone interested in opinion analysis and social media analysis. This comprehensive introduction to the topic takes a natural-language-processing point of view to help readers understand the underlying structure of the problem and the language constructs commonly used to express opinions, sentiments, and emotions. The book covers core areas of sentiment analysis and also includes related topics such as debate analysis, intention mining, and fake-opinion detection. It will be a valuable resource for researchers and practitioners in natural language processing, computer science, management sciences, and the social sciences. In addition to traditional computational methods, this second edition includes recent deep learning methods to analyze and summarize sentiments and opinions, and also new material on emotion and mood analysis techniques, emotion-enhanced dialogues, and multimodal emotion analysis.

Information and Communication Technology for Sustainable Development
Information and Communication Technology for Sustainable Development

Author: Milan Tuba

Publisher: Springer

Published: 2019-06-26

Total Pages: 843

ISBN-13: 9811371660

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The book proposes new technologies and discusses future solutions for ICT design infrastructures, and includes high-quality submissions presented at the Third International Conference on ICT for Sustainable Development (ICT4SD 2018), held in Goa, India on 30–31 August 2018. The conference stimulated cutting-edge research discussions among pioneering researchers, scientists, industrial engineers, and students from all around the world. Bringing together experts from different countries, the book focuses on innovative issues at an international level.

Sentiment Analysis of Product Reviews
Sentiment Analysis of Product Reviews

Author: Chinmay Milind Suryavanshi

Publisher:

Published: 2021

Total Pages: 40

ISBN-13:

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Digital reviews play a critical role in improving global customer interaction and shaping consumer purchasing habits. E-commerce websites generate thousands of reviews about different products on their website. It is almost impossible to read and understand each review and it would take a considerable amount of man-force to decipher each review and understand customer's opinions. Sentiment Analysis is the process of identifying, extracting, and studying subjective knowledge using Natural Language Processing (NLP). In the context of product reviews, it involves studying consumer behavior to understand their shopping interests or patterns and then using that to understand their sentiment towards a product and manufacturer or a company. In the proposed work, over 20,000 reviews have been classified into positive and negative sentiments using Sentiment Analysis and machine learning. This model can then be used to predict the sentiment of the product review entered by the user. Logistic Regression, a linear implementation of Support Vector Machines called Linear Support Vector Classifier (LSVC) and Decision Tree algorithms have been used for the classification of reviews. The results show that the highest accuracy is achieved by Logistic Regression. The review can be entered by the user in our Graphical User Interface (GUI) which is then processed as input to our model which predicts the sentiment. The review along with its classified sentiment will be displayed to the user. The project also proposes an Aspect-Based sentiment analysis approach to extract the aspects or features of the product along with its associated opinion word, both of which are displayed on the command prompt. This Aspect-Based approach will help the business owner to extract the exact features loved or hated by the customers. The GUI is constructed using the Flask framework which uses Python programming language. This study shows that Logistic Regression has the highest accuracy compared to other algorithms.

Software Engineering Perspectives in Intelligent Systems
Software Engineering Perspectives in Intelligent Systems

Author: Radek Silhavy

Publisher: Springer Nature

Published: 2020-12-14

Total Pages: 954

ISBN-13: 3030633195

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This book constitutes the refereed proceedings of the 4th Computational Methods in Systems and Software 2020 (CoMeSySo 2020) proceedings. Software engineering, computer science and artificial intelligence are crucial topics for the research within an intelligent systems problem domain. The CoMeSySo 2020 conference is breaking the barriers, being held online. CoMeSySo 2020 intends to provide an international forum for the discussion of the latest high-quality research results.

Natural Language Processing and Text Mining
Natural Language Processing and Text Mining

Author: Anne Kao

Publisher: Springer Science & Business Media

Published: 2007-03-06

Total Pages: 272

ISBN-13: 1846287545

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Natural Language Processing and Text Mining not only discusses applications of Natural Language Processing techniques to certain Text Mining tasks, but also the converse, the use of Text Mining to assist NLP. It assembles a diverse views from internationally recognized researchers and emphasizes caveats in the attempt to apply Natural Language Processing to text mining. This state-of-the-art survey is a must-have for advanced students, professionals, and researchers.

Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques

Author: Jiawei Han

Publisher: Elsevier

Published: 2011-06-09

Total Pages: 740

ISBN-13: 0123814804

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Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the feasibility, usefulness, effectiveness, and scalability of techniques of large data sets. After describing data mining, this edition explains the methods of knowing, preprocessing, processing, and warehousing data. It then presents information about data warehouses, online analytical processing (OLAP), and data cube technology. Then, the methods involved in mining frequent patterns, associations, and correlations for large data sets are described. The book details the methods for data classification and introduces the concepts and methods for data clustering. The remaining chapters discuss the outlier detection and the trends, applications, and research frontiers in data mining. This book is intended for Computer Science students, application developers, business professionals, and researchers who seek information on data mining. Presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects Addresses advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields Provides a comprehensive, practical look at the concepts and techniques you need to get the most out of your data