國立虎尾科技大學 |

登入

回首頁

The SenticNet Sentiment Lexicon: Exp...

SpringerLink (Online service)

The SenticNet Sentiment Lexicon: Exploring Semantic Richness in Multi-Word Concepts

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	The SenticNet Sentiment Lexicon: Exploring Semantic Richness in Multi-Word Concepts/ by Raoul Biagioni.
作者:	Biagioni, Raoul.
面頁冊數:	VI, 55 p. 13 illus., 8 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Neurosciences. -
電子資源:	https://doi.org/10.1007/978-3-319-38971-4
ISBN:	9783319389714

The SenticNet Sentiment Lexicon: Exploring Semantic Richness in Multi-Word Concepts
Biagioni, Raoul.

The SenticNet Sentiment Lexicon: Exploring Semantic Richness in Multi-Word Concepts[electronic resource] /by Raoul Biagioni. - 1st ed. 2016. - VI, 55 p. 13 illus., 8 illus. in color.online resource. - SpringerBriefs in Cognitive Computation,42212-6023 ;. - SpringerBriefs in Cognitive Computation,5.

Introduction -- Sentiment Analysis -- SenticNet -- Unsupervised Sentiment Classification -- Evaluation -- Conclusion -- Index. .

The research and its outcomes presented in this book, is about lexicon-based sentiment analysis. It uses single-, and multi-word concepts from the SenticNet sentiment lexicon as the source of sentiment information for the purpose of sentiment classification. In 6 chapters the book sheds light on the comparison of sentiment classification accuracy between single-word and multi-word concepts, for which a bespoke sentiment analysis system developed by the author was used. This book will be of interest to students, educators and researchers in the field of Sentic Computing.

ISBN: 9783319389714

Standard No.: 10.1007/978-3-319-38971-4doiSubjects--Topical Terms:

593561
Neurosciences.

LC Class. No.: RC321-580

Dewey Class. No.: 612.8

The SenticNet Sentiment Lexicon: Exploring Semantic Richness in Multi-Word Concepts
LDR:02122nam a22003975i 4500 001 972170
003 DE-He213
005 20200706005704.0
007 cr nn 008mamaa
008 201211s2016 gw | s |||| 0|eng d
020 $a 9783319389714 $9 978-3-319-38971-4
024 7 $a 10.1007/978-3-319-38971-4 $2 doi
035 $a 978-3-319-38971-4
050 4 $a RC321-580
072 7 $a PSAN $2 bicssc
072 7 $a MED057000 $2 bisacsh
072 7 $a PSAN $2 thema
082 0 4 $a 612.8 $2 23
100 1 $a Biagioni, Raoul. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1108622
245 1 4 $a The SenticNet Sentiment Lexicon: Exploring Semantic Richness in Multi-Word Concepts $h [electronic resource] / $c by Raoul Biagioni.
250 $a 1st ed. 2016.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a VI, 55 p. 13 illus., 8 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a SpringerBriefs in Cognitive Computation, $x 2212-6023 ; $v 4
505 0 $a Introduction -- Sentiment Analysis -- SenticNet -- Unsupervised Sentiment Classification -- Evaluation -- Conclusion -- Index. .
520 $a The research and its outcomes presented in this book, is about lexicon-based sentiment analysis. It uses single-, and multi-word concepts from the SenticNet sentiment lexicon as the source of sentiment information for the purpose of sentiment classification. In 6 chapters the book sheds light on the comparison of sentiment classification accuracy between single-word and multi-word concepts, for which a bespoke sentiment analysis system developed by the author was used. This book will be of interest to students, educators and researchers in the field of Sentic Computing.
650 0 $a Neurosciences. $3 593561
650 0 $a Natural language processing (Computer science). $3 802180
650 0 $a Semantics. $3 555362
650 2 4 $a Natural Language Processing (NLP). $3 1254293
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783319389707
776 0 8 $i Printed edition: $z 9783319389721
830 0 $a SpringerBriefs in Cognitive Computation, $x 2212-6023 ; $v 5 $3 1266190
856 4 0 $u https://doi.org/10.1007/978-3-319-38971-4
912 $a ZDB-2-SBL
912 $a ZDB-2-SXB
950 $a Biomedical and Life Sciences (SpringerNature-11642)
950 $a Biomedical and Life Sciences (R0) (SpringerNature-43708)

筆 0 讀者評論

多媒體

評論

新增評論分享你的心得

Export

取書館別