Representation And Learning Schemes For Sentiment Analysis
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Sentiment Analysis for Social Media
Sentiment analysis is a branch of natural language processing concerned with the study of the intensity of the emotions expressed in a piece of text. The automated analysis of the multitude of messages delivered through social media is one of the hottest research fields, both in academy and in industry, due to its extremely high potential applicability in many different domains. This Special Issue describes both technological contributions to the field, mostly based on deep learning techniques, and specific applications in areas like health insurance, gender classification, recommender systems, and cyber aggression detection.
Big Data Innovations and Applications
This volume constitutes the refereed proceedings of the 5th International Conference on Big Data Innovations and Applications, Innovate-Data 2019, held in Istanbul, Turkey, in August 2019. The 15 revised full papers and 1 short paper presented in this volume were carefully reviewed and selected from 48 submissions. The papers are organized in topical sections on advances in big data systems; machine learning and data analytics; big data innovation and applications; security and risk analysis.
Proceedings of IAC 2021 in Vienna
Author: Group of Authors
language: en
Publisher: Czech Institute of Academic Education
Release Date: 2021-07-01
International Academic Conference on Management, Economics and Marketing in Vienna 2021 International Academic Conference on Teaching, Learning and E-learning in Vienna 2021 International Academic Conference on Engineering, Transport, IT and Artificial Intelligence in Vienna 2021