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Map-Reduce Technique for sentiment analysis of twitter data

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Sentiment Analysis and Opinion Mining

huge volume of opinionated data recorded in digital form for analysis. Sentiment analysis systems are being applied in almost every business;

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Visual and Text Sentiment Analysis through Hierarchical Deep Learning Networks

This book presents the latest research on hierarchical deep learning for multi-modal sentiment analysis. Further, it analyses sentiments;

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Sentiment Analysis and Opinion Mining

huge volume of opinionated data recorded in digital form for analysis. Sentiment analysis systems are being applied in almost every business;

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Big Data Analytics and Knowledge Discovery

; advanced programming paradigms; non-functional requirements satisfaction; machine learning; social media and twitter analysis; sentiment analysis;

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Sentiment Analysis and Knowledge Discovery in Contemporary Business

online collaborative media. However, conducting sentiment analysis on these platforms can be challenging, especially for business professionals;

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Image Analysis Applications

insight into the merits or demerits of a particular technique. It deals with the domain of graphics recognition, document analysis, and map data;

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Twitter Data Analytics

their Twitter endeavors. It also serves as a convenient reference for readers seasoned in Twitter data analysis.;

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Introduction to Data Science

parallel programming, and the practical application of data science for such tasks as building recommender systems or performing sentiment analysis;

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Learning Social Media Analytics with R

social media using R and its advanced packages to utilize data science methodologies such as sentiment analysis, topic modeling, text;

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Recent Advances in Artificial Intelligence Research

intelligence with topics that include a Twitter specific lexicon for sentiment analysis; hybrid unsupervised-supervised artificial neural networks for;

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Data Analysis in the Cloud

NoSQL models. The book also includes techniques for conducting high-performance distributed analysis of large data on clouds. Finally, the book;

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Twitter

, takes the reader to the forefront of the newly emerging field of computational social science. An introductory chapter on Twitter data analysis;

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Pro Microsoft HDInsight

. The book is an excellent choice for anyone aspiring to be a data scientist or data engineer, putting you a step ahead in the data mining field;

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Sentimental Analysis and Deep Learning

semantics and perceptions from the humongous volume of user-generated data. In this scenario, sentiment analysis emerges as a significant;

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Quantitative Data Analysis for Language Assessment Volume I

Quantitative Data Analysis for Language Assessment Volume I: Fundamental Techniques is a resource book that presents the most fundamental;

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Quantitative Data Analysis for Language Assessment Volume I

Quantitative Data Analysis for Language Assessment Volume I: Fundamental Techniques is a resource book that presents the most fundamental;

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Big Data for Chimps

Hadoop. You'll gain a practical, actionable view of big data by working with real data and real problems. Perfect for beginners, this book's;

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Twitter

, takes the reader to the forefront of the newly emerging field of computational social science. An introductory chapter on Twitter data analysis;

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Python Social Media Analytics

acquire valuable business insights, this book is for you. The book does not assume any prior knowledge of any data analysis tool or process;

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Artificial Intelligence for Business

competitive. Chapter 5 features natural language processing (NLP) for sentiment analysis focused on emotions. With the help of sentiment analysis;

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Data Science from Scratch: First Principles with Python

know The basics of data science How commonly-used data science techniques work (learning by implementing them) What is Map-Reduce and how to do;

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Ocean Energy Modeling and Simulation with Big Data

Ocean Energy Modeling and Simulation with Big Data: Computational Intelligence for System Optimization and Grid Integration offers the;

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Politics and Big Data

to nowcast and forecast elections, this book assesses its achievements and limitations while presenting a new technique of sentiment;

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Politics and Big Data

to nowcast and forecast elections, this book assesses its achievements and limitations while presenting a new technique of sentiment;

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Multimodal Sentiment Analysis

sentiment analysis methods; frameworks to process audio and visual data; and methods of textual, audio and visual features fusion. The;

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Sentiment Analysis in Social Networks

apply sentiment analysis tools for a particular application and domain, and how to get the best results for understanding the consequences;

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