skip to content
Covid-19 virus
COVID-19 Resources

Reliable information about the coronavirus (COVID-19) is available from the World Health Organization (current situation, international travel). Numerous and frequently-updated resource results are available from this WorldCat.org search. OCLC’s WebJunction has pulled together information and resources to assist library staff as they consider how to handle coronavirus issues in their communities.

Image provided by: CDC/ Alissa Eckert, MS; Dan Higgins, MAM
Extracting knowledge from opinion mining Preview this item
ClosePreview this item
Checking...

Extracting knowledge from opinion mining

Author: Rashmi Agrawal; Neha Gupta
Publisher: Hershey PA : Engineering Science Reference, an imprint of IGI Global, [2019]
Series: Advances in data mining and database management (ADMDM) book series
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
"This book covers the key topics of opinion mining and sentiment analysis. It includes future trends and research directions related to opinion supervised and unsupervised approaches for opinion mining, machine learning techniques, deep learning and opinion spam detection. The book also includes some open source tools for opinion mining and sentiment analysis"--
Rating:

(not yet rated) 0 with reviews - Be the first.

Subjects
More like this

Find a copy online

Find a copy in the library

&AllPage.SpinnerRetrieving; Finding libraries that hold this item...

Details

Genre/Form: Electronic books
Additional Physical Format: Print version:
Extracting knowledge from opinion mining
(DLC) 2018001725
(OCoLC)1025389535
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Rashmi Agrawal; Neha Gupta
ISBN: 9781522561187 1522561188
OCLC Number: 1048608875
Description: 1 online resource
Contents: Section 1. Introductory concepts of opinion mining. Chapter 1. Fundamentals of opinion mining ; Chapter 2. Feature based opinion mining ; Chapter 3. Deep learning for opinion mining ; Chapter 4. Opinion mining: using machine learning techniques --
Section 2. Ontologies and their applications. Chapter 5. Ontology-based opinion mining ; Chapter 6. Ontologies, repository, and information mining in component-based software engineering environment ; Chapter 7. Ontology-based opinion mining for online product reviews ; Chapter 8. Applications of ontology-based opinion mining --
Section 3. Tools and techniques of opinion mining. Chapter 9. Tools of opinion mining ; Chapter 10. Sentimental analysis tools ; Chapter 11. Anatomizing lexicon with natural language Tokenizer Toolkit 3 --
Section 4. Challenges and open issues of opinion mining. Chapter 12. Challenges of text analytics in opinion mining ; Chapter 13. Open issues in opinion mining --
Section 5. Case study. Chapter 14. Case study: efficient faculty recruitment using genetic algorithm
Series Title: Advances in data mining and database management (ADMDM) book series
Responsibility: Rashmi Agrawal and Neha Gupta, editors.

Abstract:

Presents detailed information on web mining, business intelligence through opinion mining, and how to effectively use knowledge retrieved through mining operations. The book highlights relevant  Read more...

Reviews

User-contributed reviews
Retrieving GoodReads reviews...
Retrieving DOGObooks reviews...

Tags

Be the first.
Confirm this request

You may have already requested this item. Please select Ok if you would like to proceed with this request anyway.

Linked Data


\n\n

Primary Entity<\/h3>\n
<http:\/\/www.worldcat.org\/oclc\/1048608875<\/a>> # Extracting knowledge from opinion mining<\/span>\n\u00A0\u00A0\u00A0\u00A0a \nschema:MediaObject<\/a>, schema:Book<\/a>, schema:CreativeWork<\/a> ;\u00A0\u00A0\u00A0\nlibrary:oclcnum<\/a> \"1048608875<\/span>\" ;\u00A0\u00A0\u00A0\nlibrary:placeOfPublication<\/a> <http:\/\/id.loc.gov\/vocabulary\/countries\/pau<\/a>> ;\u00A0\u00A0\u00A0\nschema:about<\/a> <http:\/\/experiment.worldcat.org\/entity\/work\/data\/4790020256#Topic\/data_mining<\/a>> ; # Data mining<\/span>\n\u00A0\u00A0\u00A0\nschema:about<\/a> <http:\/\/experiment.worldcat.org\/entity\/work\/data\/4790020256#Topic\/language_and_emotions<\/a>> ; # Language and emotions<\/span>\n\u00A0\u00A0\u00A0\nschema:about<\/a> <http:\/\/experiment.worldcat.org\/entity\/work\/data\/4790020256#Topic\/discourse_analysis_data_processing<\/a>> ; # Discourse analysis--Data processing<\/span>\n\u00A0\u00A0\u00A0\nschema:about<\/a> <http:\/\/experiment.worldcat.org\/entity\/work\/data\/4790020256#Topic\/public_opinion<\/a>> ; # Public opinion<\/span>\n\u00A0\u00A0\u00A0\nschema:about<\/a> <http:\/\/experiment.worldcat.org\/entity\/work\/data\/4790020256#Topic\/computers_general<\/a>> ; # COMPUTERS--General<\/span>\n\u00A0\u00A0\u00A0\nschema:about<\/a> <http:\/\/dewey.info\/class\/006.312\/e23\/<\/a>> ;\u00A0\u00A0\u00A0\nschema:bookFormat<\/a> schema:EBook<\/a> ;\u00A0\u00A0\u00A0\nschema:datePublished<\/a> \"2018<\/span>\" ;\u00A0\u00A0\u00A0\nschema:description<\/a> \"\"This book covers the key topics of opinion mining and sentiment analysis. It includes future trends and research directions related to opinion supervised and unsupervised approaches for opinion mining, machine learning techniques, deep learning and opinion spam detection. The book also includes some open source tools for opinion mining and sentiment analysis\"--<\/span>\"@en<\/a> ;\u00A0\u00A0\u00A0\nschema:description<\/a> \"Section 1. Introductory concepts of opinion mining. Chapter 1. Fundamentals of opinion mining ; Chapter 2. Feature based opinion mining ; Chapter 3. Deep learning for opinion mining ; Chapter 4. Opinion mining: using machine learning techniques -- Section 2. Ontologies and their applications. Chapter 5. Ontology-based opinion mining ; Chapter 6. Ontologies, repository, and information mining in component-based software engineering environment ; Chapter 7. Ontology-based opinion mining for online product reviews ; Chapter 8. Applications of ontology-based opinion mining -- Section 3. Tools and techniques of opinion mining. Chapter 9. Tools of opinion mining ; Chapter 10. Sentimental analysis tools ; Chapter 11. Anatomizing lexicon with natural language Tokenizer Toolkit 3 -- Section 4. Challenges and open issues of opinion mining. Chapter 12. Challenges of text analytics in opinion mining ; Chapter 13. Open issues in opinion mining -- Section 5. Case study. Chapter 14. Case study: efficient faculty recruitment using genetic algorithm<\/span>\"@en<\/a> ;\u00A0\u00A0\u00A0\nschema:editor<\/a> <http:\/\/experiment.worldcat.org\/entity\/work\/data\/4790020256#Person\/gupta_neha<\/a>> ; # Neha Gupta<\/span>\n\u00A0\u00A0\u00A0\nschema:editor<\/a> <http:\/\/experiment.worldcat.org\/entity\/work\/data\/4790020256#Person\/agrawal_rashmi<\/a>> ; # Rashmi Agrawal<\/span>\n\u00A0\u00A0\u00A0\nschema:exampleOfWork<\/a> <http:\/\/worldcat.org\/entity\/work\/id\/4790020256<\/a>> ;\u00A0\u00A0\u00A0\nschema:genre<\/a> \"Electronic books<\/span>\"@en<\/a> ;\u00A0\u00A0\u00A0\nschema:inLanguage<\/a> \"en<\/span>\" ;\u00A0\u00A0\u00A0\nschema:isPartOf<\/a> <http:\/\/worldcat.org\/issn\/2327-1981<\/a>> ; # Advances in data mining and database management (ADMDM) book series,<\/span>\n\u00A0\u00A0\u00A0\nschema:isSimilarTo<\/a> <http:\/\/www.worldcat.org\/oclc\/1025389535<\/a>> ;\u00A0\u00A0\u00A0\nschema:name<\/a> \"Extracting knowledge from opinion mining<\/span>\"@en<\/a> ;\u00A0\u00A0\u00A0\nschema:productID<\/a> \"1048608875<\/span>\" ;\u00A0\u00A0\u00A0\nschema:url<\/a> <https:\/\/search.ebscohost.com\/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=1869089<\/a>> ;\u00A0\u00A0\u00A0\nschema:url<\/a> <https:\/\/public.ebookcentral.proquest.com\/choice\/publicfullrecord.aspx?p=5493362<\/a>> ;\u00A0\u00A0\u00A0\nschema:url<\/a> <http:\/\/services.igi-global.com\/resolvedoi\/resolve.aspx?doi=10.4018\/978-1-5225-6117-0<\/a>> ;\u00A0\u00A0\u00A0\nschema:workExample<\/a> <http:\/\/worldcat.org\/isbn\/9781522561187<\/a>> ;\u00A0\u00A0\u00A0\nwdrs:describedby<\/a> <http:\/\/www.worldcat.org\/title\/-\/oclc\/1048608875<\/a>> ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n\n

Related Entities<\/h3>\n
<http:\/\/dewey.info\/class\/006.312\/e23\/<\/a>>\u00A0\u00A0\u00A0\u00A0a \nschema:Intangible<\/a> ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/experiment.worldcat.org\/entity\/work\/data\/4790020256#Person\/agrawal_rashmi<\/a>> # Rashmi Agrawal<\/span>\n\u00A0\u00A0\u00A0\u00A0a \nschema:Person<\/a> ;\u00A0\u00A0\u00A0\nschema:familyName<\/a> \"Agrawal<\/span>\" ;\u00A0\u00A0\u00A0\nschema:givenName<\/a> \"Rashmi<\/span>\" ;\u00A0\u00A0\u00A0\nschema:name<\/a> \"Rashmi Agrawal<\/span>\" ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/experiment.worldcat.org\/entity\/work\/data\/4790020256#Person\/gupta_neha<\/a>> # Neha Gupta<\/span>\n\u00A0\u00A0\u00A0\u00A0a \nschema:Person<\/a> ;\u00A0\u00A0\u00A0\nschema:familyName<\/a> \"Gupta<\/span>\" ;\u00A0\u00A0\u00A0\nschema:givenName<\/a> \"Neha<\/span>\" ;\u00A0\u00A0\u00A0\nschema:name<\/a> \"Neha Gupta<\/span>\" ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/experiment.worldcat.org\/entity\/work\/data\/4790020256#Topic\/computers_general<\/a>> # COMPUTERS--General<\/span>\n\u00A0\u00A0\u00A0\u00A0a \nschema:Intangible<\/a> ;\u00A0\u00A0\u00A0\nschema:name<\/a> \"COMPUTERS--General<\/span>\"@en<\/a> ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/experiment.worldcat.org\/entity\/work\/data\/4790020256#Topic\/data_mining<\/a>> # Data mining<\/span>\n\u00A0\u00A0\u00A0\u00A0a \nschema:Intangible<\/a> ;\u00A0\u00A0\u00A0\nschema:name<\/a> \"Data mining<\/span>\"@en<\/a> ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/experiment.worldcat.org\/entity\/work\/data\/4790020256#Topic\/discourse_analysis_data_processing<\/a>> # Discourse analysis--Data processing<\/span>\n\u00A0\u00A0\u00A0\u00A0a \nschema:Intangible<\/a> ;\u00A0\u00A0\u00A0\nschema:name<\/a> \"Discourse analysis--Data processing<\/span>\"@en<\/a> ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/experiment.worldcat.org\/entity\/work\/data\/4790020256#Topic\/language_and_emotions<\/a>> # Language and emotions<\/span>\n\u00A0\u00A0\u00A0\u00A0a \nschema:Intangible<\/a> ;\u00A0\u00A0\u00A0\nschema:name<\/a> \"Language and emotions<\/span>\"@en<\/a> ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/experiment.worldcat.org\/entity\/work\/data\/4790020256#Topic\/public_opinion<\/a>> # Public opinion<\/span>\n\u00A0\u00A0\u00A0\u00A0a \nschema:Intangible<\/a> ;\u00A0\u00A0\u00A0\nschema:name<\/a> \"Public opinion<\/span>\"@en<\/a> ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/id.loc.gov\/vocabulary\/countries\/pau<\/a>>\u00A0\u00A0\u00A0\u00A0a \nschema:Place<\/a> ;\u00A0\u00A0\u00A0\ndcterms:identifier<\/a> \"pau<\/span>\" ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/worldcat.org\/isbn\/9781522561187<\/a>>\u00A0\u00A0\u00A0\u00A0a \nschema:ProductModel<\/a> ;\u00A0\u00A0\u00A0\nschema:isbn<\/a> \"1522561188<\/span>\" ;\u00A0\u00A0\u00A0\nschema:isbn<\/a> \"9781522561187<\/span>\" ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/worldcat.org\/issn\/2327-1981<\/a>> # Advances in data mining and database management (ADMDM) book series,<\/span>\n\u00A0\u00A0\u00A0\u00A0a \nbgn:PublicationSeries<\/a> ;\u00A0\u00A0\u00A0\nschema:hasPart<\/a> <http:\/\/www.worldcat.org\/oclc\/1048608875<\/a>> ; # Extracting knowledge from opinion mining<\/span>\n\u00A0\u00A0\u00A0\nschema:issn<\/a> \"2327-1981<\/span>\" ;\u00A0\u00A0\u00A0\nschema:name<\/a> \"Advances in data mining and database management (ADMDM) book series,<\/span>\" ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/www.worldcat.org\/oclc\/1025389535<\/a>>\u00A0\u00A0\u00A0\u00A0a \nschema:CreativeWork<\/a> ;\u00A0\u00A0\u00A0\nrdfs:label<\/a> \"Extracting knowledge from opinion mining<\/span>\" ;\u00A0\u00A0\u00A0\nschema:description<\/a> \"Print version:<\/span>\" ;\u00A0\u00A0\u00A0\nschema:isSimilarTo<\/a> <http:\/\/www.worldcat.org\/oclc\/1048608875<\/a>> ; # Extracting knowledge from opinion mining<\/span>\n\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n