Information Retrieval and Social Media Mining

Information Retrieval and Social Media Mining

media

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.

Moreno García, María N. (editor)

https://directory.doabooks.org/handle/20.500.12854/68456

MDPI - Multidisciplinary Digital Publishing Institute

2021

Dewi Puspitasari

https://creativecommons.org/licenses/by/4.0/

Zheng, Y. Penalty-Enhanced Utility-Based Multi-Criteria Recommendations. Information 2020, 11, 551.
[CrossRef]

Pdf

English

Textbooks

DOI
10.3390/books978-3-0365-0247-2

ISBN
9783036502465, 9783036502472

Basel