Information Retrieval and Social Media Mining
Moreno García, María N.
Information Retrieval and Social Media Mining - Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021 - 1 electronic resource (144 p.)
Open Access
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.
Creative Commons
English
books978-3-0365-0247-2 9783036502465 9783036502472
10.3390/books978-3-0365-0247-2 doi
History of engineering & technology
music recommender systems social influence social trust homophily collaborative filtering streaming services ego network events network dynamics Twitter hybrid recommender systems feedback collection digital libraries information retrieval real-world data open-access social capital social media operationalization measurement scoping review graph convolutional neural network recommender system cross-sales pharmacy popularity bias opinion mining opinion summarization topic modeling semantic similarity measures word embeddings text mining sentiment analysis Web-based questionnaire telemedicine telemonitoring telehomecare recommender systems utility multi-criteria penalty over-expectation under-expectation n/a
Information Retrieval and Social Media Mining - Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021 - 1 electronic resource (144 p.)
Open Access
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.
Creative Commons
English
books978-3-0365-0247-2 9783036502465 9783036502472
10.3390/books978-3-0365-0247-2 doi
History of engineering & technology
music recommender systems social influence social trust homophily collaborative filtering streaming services ego network events network dynamics Twitter hybrid recommender systems feedback collection digital libraries information retrieval real-world data open-access social capital social media operationalization measurement scoping review graph convolutional neural network recommender system cross-sales pharmacy popularity bias opinion mining opinion summarization topic modeling semantic similarity measures word embeddings text mining sentiment analysis Web-based questionnaire telemedicine telemonitoring telehomecare recommender systems utility multi-criteria penalty over-expectation under-expectation n/a