Sentiment Analysis

This book PDF is perfect for those who love Business & Economics genre, written by Bing Liu and published by Cambridge University Press which was released on 15 October 2020 with total hardcover pages 451. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Sentiment Analysis books below.

Sentiment Analysis
Author : Bing Liu
File Size : 52,8 Mb
Publisher : Cambridge University Press
Language : English
Release Date : 15 October 2020
ISBN : 9781108486378
Pages : 451 pages
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Sentiment Analysis by Bing Liu Book PDF Summary

A comprehensive introduction to computational analysis of sentiments, opinions, emotions, and moods. Now including deep learning methods.

Sentiment Analysis

A comprehensive introduction to computational analysis of sentiments, opinions, emotions, and moods. Now including deep learning methods.

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Sentiment Analysis in Social Networks

The aim of Sentiment Analysis is to define automatic tools able to extract subjective information from texts in natural language, such as opinions and sentiments, in order to create structured and actionable knowledge to be used by either a decision support system or a decision maker. Sentiment analysis has gained

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Text Mining with R

Chapter 7. Case Study : Comparing Twitter Archives; Getting the Data and Distribution of Tweets; Word Frequencies; Comparing Word Usage; Changes in Word Use; Favorites and Retweets; Summary; Chapter 8. Case Study : Mining NASA Metadata; How Data Is Organized at NASA; Wrangling and Tidying the Data; Some Initial Simple Exploration; Word Co-ocurrences and

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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 emotions from written language. It is one of the most active research areas in natural language processing and is also widely studied in data mining, Web mining, and text mining. In fact,

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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,

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A Practical Guide to Sentiment Analysis

Sentiment analysis research has been started long back and recently it is one of the demanding research topics. Research activities on Sentiment Analysis in natural language texts and other media are gaining ground with full swing. But, till date, no concise set of factors has been yet defined that really

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Opinion Mining and Sentiment Analysis

This survey covers techniques and approaches that promise to directly enable opinion-oriented information-seeking systems.

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Affective Computing and Sentiment Analysis

This volume maps the watershed areas between two 'holy grails' of computer science: the identification and interpretation of affect – including sentiment and mood. The expression of sentiment and mood involves the use of metaphors, especially in emotive situations. Affect computing is rooted in hermeneutics, philosophy, political science and sociology, and

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