Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Cognitive Computation
Published in: Cognitive Computation 1/2022

04-01-2022

Guest Editorial: A Decade of Sentic Computing

Authors: Erik Cambria, Amir Hussain

Published in: Cognitive Computation | Issue 1/2022

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Excerpt

The opportunity to capture the opinions of the general public has raised growing interest both within the scientific community, leading to many exciting open challenges, and in the business world due to the remarkable range of benefits envisaged, including from marketing, business intelligence, and financial prediction. Mining opinions and sentiments from natural language, however, is an extremely difficult task as it involves a deep understanding of most of the explicit and implicit, regular and irregular, syntactical and semantic rules appropriate of a language. …
next article Ten Years of Sentic Computing

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
Footnotes
Literature
1.
Cambria E, Hussain A. Sentic Computing: A Common-Sense-Based Framework for Concept-Level Sentiment Analysis. Cham, Switzerland: Springer; 2015.CrossRef
2.
Cambria E, Hussain A, Havasi C, Eckl C. Common sense computing: From the society of mind to digital intuition and beyond. In: Biometric ID Management and Multimodal Communication, vol. 5707. Lecture Notes in Computer Science. Berlin Heidelberg: Springer; 2009. p. 252–9.CrossRef
3.
Picasso A, Merello S, Ma Y, Oneto L, Cambria E. Technical analysis and sentiment embeddings for market trend prediction. Expert Syst Appl. 2019;135:60–70.CrossRef
4.
Chandra JK, Cambria E, Nanetti A. One belt, one road, one sentiment? A hybrid approach to gauging public opinions on the New Silk Road initiative. In: ICDM, 2020;7–14.
5.
Cambria E, Grassi M, Hussain A, Havasi C. Sentic computing for social media marketing. Multimedia Tools and Applications. 2012b;59(2):557–77.CrossRef
6.
Stappen L, Baird A, Cambria E, Schuller BW. Sentiment analysis and topic recognition in video transcriptions. IEEE Intell Syst. 2021;36:2.CrossRef
7.
Susanto Y, Livingstone A, Ng BC, Cambria E. The hourglass model revisited. IEEE Intell Syst. 2020;35(5):96–102.CrossRef
8.
Poria S, Cambria E, Winterstein G, Huang GB. Sentic patterns: Dependency-based rules for concept-level sentiment analysis. Knowl-Based Syst. 2014;69:45–63.CrossRef
9.
Cambria E, Fu J, Bisio F, Poria S. AffectiveSpace 2: Enabling affective intuition for concept-level sentiment analysis. In: AAAI, 2015;508–514.
10.
Cambria E, Li Y, Xing F, Poria S, Kwok K. SenticNet 6: Ensemble application of symbolic and subsymbolic AI for sentiment analysis. In: CIKM, 2020;105–114.
11.
Poria S, Chaturvedi I, Cambria E, Bisio F. Sentic LDA: Improving on LDA with semantic similarity for aspect-based sentiment analysis. In: IJCNN 2016;4465–4473
12.
Ma Y, Peng H, Cambria E. Targeted aspect-based sentiment analysis via embedding commonsense knowledge into an attentive LSTM. In: AAAI, 2018;5876–5883.
13.
Cambria E, Benson T, Eckl C, Hussain A. Sentic PROMs: Application of sentic computing to the development of a novel unified framework for measuring health-care quality. Expert Syst Appl. 2012a;39(12):10533–43.CrossRef
14.
Cambria E, Hussain A. Sentic album: Content-, concept-, and context-based online personal photo management system. Cogn Comput. 2012;4(4):477–96.CrossRef
Metadata
Title
Guest Editorial: A Decade of Sentic Computing
Authors
Erik Cambria
Amir Hussain
Publication date
04-01-2022
Publisher
Springer US
Published in
Cognitive Computation / Issue 1/2022
Print ISSN: 1866-9956
Electronic ISSN: 1866-9964
DOI
https://doi.org/10.1007/s12559-021-09972-0

Other articles of this Issue 1/2022

Cognitive Computation 1/2022 Go to the issue

OriginalPaper

Ordered Weighted Averaging for Emotion-Driven Polarity Detection

OriginalPaper

Mood of the Planet: Challenging Visions of Big Data in the Arts

OriginalPaper

Single and Cross-Disorder Detection for Autism and Schizophrenia

OriginalPaper

Emotionally Informed Hate Speech Detection: A Multi-target Perspective

OriginalPaper

Incremental Word Vectors for Time-Evolving Sentiment Lexicon Induction

ReviewPaper

Ten Years of Sentic Computing

Premium Partner

    Image Credits