Sentiment analysis : mining opinions, sentiments, and emotions Bing Liu

By:

Liu, Bing

Material type: Text

TextPublication details: New York, NY : Cambridge University Press, [2015]Edition: 2NDDescription: 367 pagesISBN:

9781108486378

DDC classification:

006.312 LIU

Contents:

The problem of sentiment analysis -- Document sentiment classification -- Sentence subjectivity and sentiment classification -- Aspect sentiment classification -- Aspect and entity extraction -- Sentiment lexicon generation -- Analysis of comparative opinions -- Opinion summarization and search -- Analysis of debates and comments -- Mining intentions -- Detecting fake or deceptive opinions -- Quality of reviews.

Summary: Sentiment analysis is the computational study of people's opinions, sentiments, emotions, and attitudes. This fascinating problem is increasingly important in business and society. It offers numerous research challenges but promises insight useful to anyone interested in opinion analysis and social media analysis. This book gives a comprehensive introduction to the topic from a primarily natural-language-processing

List(s) this item appears in: New Arrivals Oct-Nov 2021 - Central Library IIITDMK

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Books	IIITDM Kurnool General Stacks	Non-fiction	006.312 LIU (Browse shelf(Opens below))	Checked out	29.12.2025	0003799
Reference	IIITDM Kurnool Reference	Reference	006.312 LIU (Browse shelf(Opens below))	Not For Loan		0003800

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Previous	006.31 GOO Deep learning	006.312 DUD Pattern Recognition,	006.312 LES Mining of masive datasets	006.312 LIU Sentiment analysis :	006.312 ROS Fuzzy Sets and Fuzzy Logic with Engineering Applications, ,	006.312 ZAK Data mining and machine learning :	006.4 BIS Pattern recognition and machine learning	Next

The problem of sentiment analysis --
Document sentiment classification --
Sentence subjectivity and sentiment classification --
Aspect sentiment classification --
Aspect and entity extraction --
Sentiment lexicon generation --
Analysis of comparative opinions --
Opinion summarization and search --
Analysis of debates and comments --
Mining intentions --
Detecting fake or deceptive opinions --
Quality of reviews.

Sentiment analysis is the computational study of people's opinions, sentiments, emotions, and attitudes. This fascinating problem is increasingly important in business and society. It offers numerous research challenges but promises insight useful to anyone interested in opinion analysis and social media analysis. This book gives a comprehensive introduction to the topic from a primarily natural-language-processing

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