Information Retrieval and Social Media Mining

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 su...

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Bibliographic Details
Other Authors: Moreno García, María N. (Editor)
Format: Electronic Book Chapter
Language:English
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
Subjects:
Online Access:DOAB: download the publication
DOAB: description of the publication
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520 |a 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. 
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546 |a English 
650 7 |a History of engineering & technology  |2 bicssc 
653 |a music recommender systems 
653 |a social influence 
653 |a social trust 
653 |a homophily 
653 |a collaborative filtering 
653 |a streaming services 
653 |a ego network 
653 |a events 
653 |a network dynamics 
653 |a Twitter 
653 |a hybrid recommender systems 
653 |a feedback collection 
653 |a digital libraries 
653 |a information retrieval 
653 |a real-world data 
653 |a open-access 
653 |a social capital 
653 |a social media 
653 |a operationalization 
653 |a measurement 
653 |a scoping review 
653 |a graph convolutional neural network 
653 |a recommender system 
653 |a cross-sales 
653 |a pharmacy 
653 |a popularity bias 
653 |a opinion mining 
653 |a opinion summarization 
653 |a topic modeling 
653 |a semantic similarity measures 
653 |a word embeddings 
653 |a text mining 
653 |a sentiment analysis 
653 |a Web-based questionnaire 
653 |a telemedicine 
653 |a telemonitoring 
653 |a telehomecare 
653 |a recommender systems 
653 |a utility 
653 |a multi-criteria 
653 |a penalty 
653 |a over-expectation 
653 |a under-expectation 
653 |a n/a 
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856 4 0 |a www.oapen.org  |u https://directory.doabooks.org/handle/20.500.12854/68456  |7 0  |z DOAB: description of the publication