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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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Opinion Analysis For Online Reviews

This book provides a comprehensive introduction on opinion analysis for online reviews. It offers the newest research on opinion mining;

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Opinion Analysis For Online Reviews

This book provides a comprehensive introduction on opinion analysis for online reviews. It offers the newest research on opinion mining;

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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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Sentiment Analysis

Sentiment analysis is the computational study of people's opinions, sentiments, emotions, moods, and attitudes. This fascinating problem;

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From Opinion Mining to Financial Argument Mining

financial opinion mining to offer insights into the futures goals. For a better understanding of the past and the current research, it also;

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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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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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Affective Computing and Sentiment Analysis

and blogs facilitate the expression and shaping of opinion locally and globally. Sentiment analysis, based on text and data mining, is being;

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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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Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data

of Web mining, where Web crawling, search, social network analysis, structured data extraction, information integration, opinion mining and;

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Sentic Computing

language data and the concept-level opinions conveyed by these. In particular, the ensemble application of graph mining and multi-dimensionality;

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Computational Linguistics and Intelligent Text Processing

analysis, opinion mining, and emotions; natural language generation; machine translation and multilingualism; text categorization and clustering;

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Opinion Mining in Information Retrieval

This book discusses in detail the latest trends in sentiment analysis,focusing on how online reviews and feedback reflect the opinions;

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Natural Language Processing and Information Systems

mining and sentiment analysis; question answering systems and applications; semantics-based models and applications; and text summarization.;

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Contrary Opinion

Measure market sentiment and predict market trends. Contrary opinion is the opposite opinion of the sentiment held by the majority. If;

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Computational Linguistics and Intelligent Text Processing

analysis and emotion detection; opinion mining and social network analysis; natural language generation and text summarization; information;

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Computational Linguistics and Intelligent Text Processing

analysis and emotion detection; opinion mining and social network analysis; natural language generation and text summarization; information;

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Sentiment Analysis and Knowledge Discovery in Contemporary Business

source that discusses applications of sentiment analysis as well as data mining, machine learning algorithms, and big data streams in business;

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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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Computational Linguistics and Intelligent Text Processing

: sentiment analysis; opinion mining; author profiling and authorship attribution; social network analysis; machine translation; text summarization;

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Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data

; semantics; text mining, open-domain information extraction and machine reading of the Web; sentiment analysis, opinion mining and text;

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From Social Data Mining and Analysis to Prediction and Community Detection

of online social networks, it focuses on important and upcoming topics of social network analysis and mining such as the latest in sentiment trends;

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Extracting Knowledge From Opinion Mining

intelligence through opinion mining, and how to effectively use knowledge retrieved through mining operations. While highlighting relevant topics;

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Chinese Computational Linguistics and Natural Language Processing Based on Natur

on lexical semantics and ontologies; semantics; sentiment analysis, opinion mining and text classification; machine translation;

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