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Opinion Analysis in Interactions - From Data Mining to Human-Agent Interaction

to the analysis methods of user opinions within the context of human-agent interaction. It also illustrates the implementation of strategies;

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Sentiment Analysis and Opinion Mining

Sentiment analysis and opinion mining is the field of study that analyzes people's opinions, sentiments, evaluations, attitudes, and;

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The Routledge Companion to Marketing Research

-generated data, including opinion mining and sentiment analysis Big data Neuroscientific techniques and physiological measures;

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Sentiment Analysis in the Bio Medical Domain

health community to use these sources for opinion mining. This book presents a lexicon-based approach to sentiment analysis in the bio-medical;

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Extracting Knowledge From Opinion Mining

Data mining techniques are commonly used to extract meaningful information from the web, such as data from web documents, website usage;

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Advances in Artificial Intelligence IBERAMIA 2016

systems; planning and scheduling; natural language processing; machine learning; big data, knowledge discovery and data mining; computer vision;

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Sentiment Analysis and Opinion Mining

Sentiment analysis and opinion mining is the field of study that analyzes people's opinions, sentiments, evaluations, attitudes, and;

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Protein Interaction Networks

The analysis of protein-protein interactions is fundamental to the understanding of cellular organization, processes, and functions;

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Interactions In Multiagent Systems

This compendium covers several important topics related to multiagent systems, from learning and game theoretic analysis, to automated;

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Modelling Human-Flood Interactions

and a methodology to build holistic models for FRM, and to assess how coupled human-flood interaction models support FRM policy analysis and;

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Human Inspired Computing and its Applications

carefully reviewed and selected from 348 submissions. The first volume deals with advances in human-inspired computing and its applications. It;

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Man-Machine Interactions 2

. In particular, the topical subdivisions of this volume include human-computer interfaces, robot control and navigation systems, bio-data analysis and;

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Agent-Based Models of Polarization and Ethnocentrism

element of uncertainty to human interaction; models of human interactions structured by social networks; and 'evolutionary' models in which agents;

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Agents and Data Mining Interaction

This book constitutes the thoroughly refereed and revised selected papers from the 10th International Workshop on Agents and Data Mining;

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Spatial Analysis in Field Primatology

From foraging patterns in a single tree to social interactions across a home range, how primates use space is a key question in the field;

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Spatial Analysis in Field Primatology

From foraging patterns in a single tree to social interactions across a home range, how primates use space is a key question in the field;

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Advances in Artificial Intelligence -- IBERAMIA 2014

-agent systems; agent-based modeling and simulation; AI in education, affective computing, and human-computer interaction; applications of AI;

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Man Machine Interactions 4

is structured into following sections: human-computer interfaces, robot, control, embedded and navigation systems, bio-data analysis and mining;

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Advances in Soft Computing

networks and opinion mining; fuzzy logic; time series analysis and forecasting; planning and scheduling; image processing and computer vision;

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Advances in Computational Intelligence

; social networks and opinion mining; fuzzy logic; time series analysis and forecasting; planning and scheduling; image processing and computer;

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Next Generation of Data Mining

is creating computing, storage, communication, and human-computer interaction challenges for data mining. Providing a framework to better understand;

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Next Generation of Data Mining

is creating computing, storage, communication, and human-computer interaction challenges for data mining. Providing a framework to better understand;

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Foundations of Intelligent Systems

selected from 59 submissions. The papers deal with topics such as bioinformatics and health informatics, graph mining, image analysis, intelligent;

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Advances in Knowledge Discovery and Data Mining

learning; applications; novel methods and algorithms; opinion mining and sentiment analysis; clustering; outlier and anomaly detection; mining;

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Advances in Knowledge Discovery and Data Mining

learning; applications; novel methods and algorithms; opinion mining and sentiment analysis; clustering; outlier and anomaly detection; mining;

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Advances in Knowledge Discovery and Data Mining

methods and algorithms; opinion mining and sentiment analysis; clustering; feature extraction and pattern mining; graph and network data;

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Advances in Knowledge Discovery and Data Mining

methods and algorithms; opinion mining and sentiment analysis; clustering; feature extraction and pattern mining; graph and network data;

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