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Author: Rajput, Dharmendra Singh Publisher: IGI Global ISBN: 1522550003 Category : Business & Economics Languages : en Pages : 355
Book Description
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.
Author: Rajput, Dharmendra Singh Publisher: IGI Global ISBN: 1522550003 Category : Business & Economics Languages : en Pages : 355
Book Description
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.
Author: Bing Liu Publisher: Springer Nature ISBN: 3031021452 Category : Computers Languages : en Pages : 167
Book Description
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
Author: Pradeep Kumar Mallick Publisher: Springer ISBN: 9811306176 Category : Technology & Engineering Languages : en Pages : 795
Book Description
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.
Author: Bing Liu Publisher: Cambridge University Press ISBN: 1108787282 Category : Computers Languages : en Pages : 451
Book Description
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.
Author: Milan Tuba Publisher: Springer ISBN: 9811371660 Category : Technology & Engineering Languages : en Pages : 843
Book Description
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.
Author: Chinmay Milind Suryavanshi Publisher: ISBN: Category : Languages : en Pages : 40
Book Description
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.
Author: Radek Silhavy Publisher: Springer Nature ISBN: 3030633195 Category : Technology & Engineering Languages : en Pages : 954
Book Description
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.
Author: Anne Kao Publisher: Springer Science & Business Media ISBN: 1846287545 Category : Computers Languages : en Pages : 272
Book Description
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.
Author: Ajith Abraham Publisher: Springer ISBN: 3030166600 Category : Technology & Engineering Languages : en Pages : 1114
Book Description
This book highlights recent research on Intelligent Systems and Nature Inspired Computing. It presents 212 selected papers from the 18th International Conference on Intelligent Systems Design and Applications (ISDA 2018) and the 10th World Congress on Nature and Biologically Inspired Computing (NaBIC), which was held at VIT University, India. ISDA-NaBIC 2018 was a premier conference in the field of Computational Intelligence and brought together researchers, engineers and practitioners whose work involved intelligent systems and their applications in industry and the “real world.” Including contributions by authors from over 40 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of Computer Science and Engineering.
Author: Rajput, Dharmendra Singh
Author: Rajput, Dharmendra Singh
Author: Bing Liu
Author: Pradeep Kumar Mallick
Author: Bing Liu
Author: Bo Pang
Author: Milan Tuba
Author: Chinmay Milind Suryavanshi
Author: Radek Silhavy
Author: Anne Kao
Author: Ajith Abraham