Information Retrieval and Social Media Mining - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Information Retrieval and Social Media Mining write by María N. Moreno García. This book was released on 2021-03-09. Information Retrieval and Social Media Mining available in PDF, EPUB and Kindle. This book presents diverse contributions related to some of the latest advances in the field of personalization and recommender systems, as well as social media and sentiment analysis. The work comprises several articles that address different problems in these areas by means of recent techniques such as deep learning, methods to analyze the structure and the dynamics of social networks, and modern language processing approaches for sentiment analysis, among others. The proposals included in the book are representative of some highly topical research directions and cover different application domains where they have been validated. These go from the recommendation of hotels, movies, music, documents, or pharmacy cross-selling to sentiment analysis in the field of telemedicine and opinion mining on news, also including the study of social capital on social media and dynamics aspects of the Twitter social network.
Social Media Mining and Social Network Analysis: Emerging Research
Social Media Mining and Social Network Analysis: Emerging Research - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Social Media Mining and Social Network Analysis: Emerging Research write by Xu, Guandong. This book was released on 2013-01-31. Social Media Mining and Social Network Analysis: Emerging Research available in PDF, EPUB and Kindle. Social Media Mining and Social Network Analysis: Emerging Research highlights the advancements made in social network analysis and social web mining and its influence in the fields of computer science, information systems, sociology, organization science discipline and much more. This collection of perspectives on developmental practice is useful for industrial practitioners as well as researchers and scholars.
Biomedical Data Mining for Information Retrieval
Biomedical Data Mining for Information Retrieval - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Biomedical Data Mining for Information Retrieval write by Sujata Dash. This book was released on 2021-08-24. Biomedical Data Mining for Information Retrieval available in PDF, EPUB and Kindle. BIOMEDICAL DATA MINING FOR INFORMATION RETRIEVAL This book not only emphasizes traditional computational techniques, but discusses data mining, biomedical image processing, information retrieval with broad coverage of basic scientific applications. Biomedical Data Mining for Information Retrieval comprehensively covers the topic of mining biomedical text, images and visual features towards information retrieval. Biomedical and health informatics is an emerging field of research at the intersection of information science, computer science, and healthcare and brings tremendous opportunities and challenges due to easily available and abundant biomedical data for further analysis. The aim of healthcare informatics is to ensure the high-quality, efficient healthcare, better treatment and quality of life by analyzing biomedical and healthcare data including patient’s data, electronic health records (EHRs) and lifestyle. Previously, it was a common requirement to have a domain expert to develop a model for biomedical or healthcare; however, recent advancements in representation learning algorithms allows us to automatically to develop the model. Biomedical image mining, a novel research area, due to the vast amount of available biomedical images, increasingly generates and stores digitally. These images are mainly in the form of computed tomography (CT), X-ray, nuclear medicine imaging (PET, SPECT), magnetic resonance imaging (MRI) and ultrasound. Patients’ biomedical images can be digitized using data mining techniques and may help in answering several important and critical questions relating to healthcare. Image mining in medicine can help to uncover new relationships between data and reveal new useful information that can be helpful for doctors in treating their patients. Audience Researchers in various fields including computer science, medical informatics, healthcare IOT, artificial intelligence, machine learning, image processing, clinical big data analytics.
Information Retrieval and Social Media Mining
Information Retrieval and Social Media Mining - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Information Retrieval and Social Media Mining write by María N. Moreno García. This book was released on 2021. Information Retrieval and Social Media Mining available in PDF, EPUB and Kindle. This book presents diverse contributions related to some of the latest advances in the field of personalization and recommender systems, as well as social media and sentiment analysis. The work comprises several articles that address different problems in these areas by means of recent techniques such as deep learning, methods to analyze the structure and the dynamics of social networks, and modern language processing approaches for sentiment analysis, among others. The proposals included in the book are representative of some highly topical research directions and cover different application domains where they have been validated. These go from the recommendation of hotels, movies, music, documents, or pharmacy cross-selling to sentiment analysis in the field of telemedicine and opinion mining on news, also including the study of social capital on social media and dynamics aspects of the Twitter social network.
Extracting, Mining and Predicting Users' Interests from Social Media
Extracting, Mining and Predicting Users' Interests from Social Media - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Extracting, Mining and Predicting Users' Interests from Social Media write by Fattane Zarrinkalam. This book was released on 2020-11-05. Extracting, Mining and Predicting Users' Interests from Social Media available in PDF, EPUB and Kindle. Mining user interests from user behavioral data is critical for many applications. Based on user interests, service providers like advertisers can significantly reduce service delivery costs by offering the most relevant products to their customers. The challenge of accurately and efficiently identifying user interests has been the subject of increasing attention for several years. With the emergence and growing popularity of social media, many users are extensively engaged in social media applications to express their feelings and views about a wide variety of social events/topics as they happen in real time. The abundance of user generated content on social media provides the opportunity to build models that are able to accurately and effectively extract, mine, and predict users' interests with the hopes of enabling more effective user engagement, better quality delivery of appropriate services, and higher user satisfaction. While traditional methods for building user profiles relied on AI-based preference elicitation techniques that could have been considered intrusive and undesirable by the users, more recent advances are focused on a non-intrusive yet accurate way of determining users' interests and preferences. In this monograph, the authors cover five important subjects related to the mining of user interests from social media: (1) the foundations of social user interest modeling, (2) techniques that have been adopted or proposed for mining user interests, (3) different evaluation methodologies and benchmark datasets, (4) different applications that have been taking advantage of user interest mining from social media platforms, and (5) existing challenges, open research questions, and opportunities for further work. The monograph is a valuable resource for those who have familiarity with social media mining and the basics of information retrieval (IR) techniques.
