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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
Main Author: Moreno García, María N.
Format: eBook
Language:English
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
Subjects:
Homophily
Social Capital
Network Dynamics
Pharmacy
N/a
Under-expectation
Web-based Questionnaire
Utility
Events
Measurement
Real-world Data
Graph Convolutional Neural Network
Recommender Systems
History Of Engineering And Technology / Bicssc
Word Embeddings
Social Media
Information Retrieval
Semantic Similarity Measures
Collaborative Filtering
Over-expectation
Text Mining
Telemonitoring
Music Recommender Systems
Opinion Summarization
Sentiment Analysis
Topic Modeling
Twitter
Telemedicine
Telehomecare
Opinion Mining
Open-access
Multi-criteria
Social Influence
Ego Network
Digital Libraries
Streaming Services
Operationalization
Social Trust
Hybrid Recommender Systems
Feedback Collection
Scoping Review
Penalty
Recommender System
Cross-sales
Popularity Bias
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary: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.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:1 electronic resource (144 p.)
ISBN:9783036502465
books978-3-0365-0247-2
9783036502472

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