---
_id: '31054'
abstract:
- lang: eng
text: This paper aims at discussing past limitations set in sentiment analysis research
regarding explicit and implicit mentions of opinions. Previous studies have regularly
neglected this question in favor of methodical research on standard-datasets.
Furthermore, they were limited to linguistically less-diverse domains, such as
commercial product reviews. We face this issue by annotating a German-language
physician review dataset that contains numerous implicit, long, and complex statements
that indicate aspect ratings, such as the physician’s friendliness. We discuss
the nature of implicit statements and present various samples to illustrate the
challenge described.
author:
- first_name: Joschka
full_name: Kersting, Joschka
id: '58701'
last_name: Kersting
- first_name: Frederik Simon
full_name: Bäumer, Frederik Simon
id: '38837'
last_name: Bäumer
citation:
ama: 'Kersting J, Bäumer FS. Implicit Statements in Healthcare Reviews: A Challenge
for Sentiment Analysis. In: Kersting J, ed. Proceedings of the Fourteenth International
Conference on Pervasive Patterns and Applications (PATTERNS 2022): Special Track
AI-DRSWA: Maturing Artificial Intelligence - Data Science for Real-World Applications.
IARIA; 2022:5-9.'
apa: 'Kersting, J., & Bäumer, F. S. (2022). Implicit Statements in Healthcare
Reviews: A Challenge for Sentiment Analysis. In J. Kersting (Ed.), Proceedings
of the Fourteenth International Conference on Pervasive Patterns and Applications
(PATTERNS 2022): Special Track AI-DRSWA: Maturing Artificial Intelligence - Data
Science for Real-World Applications (pp. 5–9). IARIA.'
bibtex: '@inproceedings{Kersting_Bäumer_2022, place={Barcelona, Spain}, title={Implicit
Statements in Healthcare Reviews: A Challenge for Sentiment Analysis}, booktitle={Proceedings
of the Fourteenth International Conference on Pervasive Patterns and Applications
(PATTERNS 2022): Special Track AI-DRSWA: Maturing Artificial Intelligence - Data
Science for Real-World Applications}, publisher={IARIA}, author={Kersting, Joschka
and Bäumer, Frederik Simon}, editor={Kersting, Joschka}, year={2022}, pages={5–9}
}'
chicago: 'Kersting, Joschka, and Frederik Simon Bäumer. “Implicit Statements in
Healthcare Reviews: A Challenge for Sentiment Analysis.” In Proceedings of
the Fourteenth International Conference on Pervasive Patterns and Applications
(PATTERNS 2022): Special Track AI-DRSWA: Maturing Artificial Intelligence - Data
Science for Real-World Applications, edited by Joschka Kersting, 5–9. Barcelona,
Spain: IARIA, 2022.'
ieee: 'J. Kersting and F. S. Bäumer, “Implicit Statements in Healthcare Reviews:
A Challenge for Sentiment Analysis,” in Proceedings of the Fourteenth International
Conference on Pervasive Patterns and Applications (PATTERNS 2022): Special Track
AI-DRSWA: Maturing Artificial Intelligence - Data Science for Real-World Applications,
Barcelona, Spain, 2022, pp. 5–9.'
mla: 'Kersting, Joschka, and Frederik Simon Bäumer. “Implicit Statements in Healthcare
Reviews: A Challenge for Sentiment Analysis.” Proceedings of the Fourteenth
International Conference on Pervasive Patterns and Applications (PATTERNS 2022):
Special Track AI-DRSWA: Maturing Artificial Intelligence - Data Science for Real-World
Applications, edited by Joschka Kersting, IARIA, 2022, pp. 5–9.'
short: 'J. Kersting, F.S. Bäumer, in: J. Kersting (Ed.), Proceedings of the Fourteenth
International Conference on Pervasive Patterns and Applications (PATTERNS 2022):
Special Track AI-DRSWA: Maturing Artificial Intelligence - Data Science for Real-World
Applications, IARIA, Barcelona, Spain, 2022, pp. 5–9.'
conference:
location: Barcelona, Spain
name: The Fourteenth International Conference on Pervasive Patterns and Applications
(PATTERNS 2022)
start_date: 2022-03
date_created: 2022-05-04T08:12:09Z
date_updated: 2022-12-01T13:40:11Z
ddc:
- '006'
editor:
- first_name: Joschka
full_name: Kersting, Joschka
last_name: Kersting
file:
- access_level: closed
content_type: application/pdf
creator: jkers
date_created: 2022-12-01T13:39:48Z
date_updated: 2022-12-01T13:39:48Z
file_id: '34172'
file_name: Kersting & Bäumer (2022), Kersting2022.pdf
file_size: 155548
relation: main_file
success: 1
file_date_updated: 2022-12-01T13:39:48Z
has_accepted_license: '1'
keyword:
- Sentiment analysis
- Natural language processing
- Aspect phrase extraction
language:
- iso: eng
page: 5-9
place: Barcelona, Spain
project:
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
- _id: '9'
name: 'SFB 901 - B1: SFB 901 - Subproject B1'
publication: 'Proceedings of the Fourteenth International Conference on Pervasive
Patterns and Applications (PATTERNS 2022): Special Track AI-DRSWA: Maturing Artificial
Intelligence - Data Science for Real-World Applications'
publication_status: published
publisher: IARIA
status: public
title: 'Implicit Statements in Healthcare Reviews: A Challenge for Sentiment Analysis'
type: conference
user_id: '58701'
year: '2022'
...
---
_id: '15580'
abstract:
- lang: eng
text: This paper deals with aspect phrase extraction and classification in sentiment
analysis. We summarize current approaches and datasets from the domain of aspect-based
sentiment analysis. This domain detects sentiments expressed for individual aspects
in unstructured text data. So far, mainly commercial user reviews for products
or services such as restaurants were investigated. We here present our dataset
consisting of German physician reviews, a sensitive and linguistically complex
field. Furthermore, we describe the annotation process of a dataset for supervised
learning with neural networks. Moreover, we introduce our model for extracting
and classifying aspect phrases in one step, which obtains an F1-score of 80%.
By applying it to a more complex domain, our approach and results outperform previous
approaches.
author:
- first_name: Joschka
full_name: Kersting, Joschka
id: '58701'
last_name: Kersting
- first_name: Michaela
full_name: Geierhos, Michaela
id: '42496'
last_name: Geierhos
orcid: 0000-0002-8180-5606
citation:
ama: 'Kersting J, Geierhos M. Aspect Phrase Extraction in Sentiment Analysis with
Deep Learning. In: Proceedings of the 12th International Conference on Agents
and Artificial Intelligence (ICAART 2020) -- Special Session on Natural Language
Processing in Artificial Intelligence (NLPinAI 2020). Setúbal, Portugal: SCITEPRESS;
2020:391--400.'
apa: 'Kersting, J., & Geierhos, M. (2020). Aspect Phrase Extraction in Sentiment
Analysis with Deep Learning. In Proceedings of the 12th International Conference
on Agents and Artificial Intelligence (ICAART 2020) -- Special Session on Natural
Language Processing in Artificial Intelligence (NLPinAI 2020) (pp. 391--400).
Setúbal, Portugal: SCITEPRESS.'
bibtex: '@inproceedings{Kersting_Geierhos_2020, place={Setúbal, Portugal}, title={Aspect
Phrase Extraction in Sentiment Analysis with Deep Learning}, booktitle={Proceedings
of the 12th International Conference on Agents and Artificial Intelligence (ICAART
2020) -- Special Session on Natural Language Processing in Artificial Intelligence
(NLPinAI 2020)}, publisher={SCITEPRESS}, author={Kersting, Joschka and Geierhos,
Michaela}, year={2020}, pages={391--400} }'
chicago: 'Kersting, Joschka, and Michaela Geierhos. “Aspect Phrase Extraction in
Sentiment Analysis with Deep Learning.” In Proceedings of the 12th International
Conference on Agents and Artificial Intelligence (ICAART 2020) -- Special Session
on Natural Language Processing in Artificial Intelligence (NLPinAI 2020),
391--400. Setúbal, Portugal: SCITEPRESS, 2020.'
ieee: J. Kersting and M. Geierhos, “Aspect Phrase Extraction in Sentiment Analysis
with Deep Learning,” in Proceedings of the 12th International Conference on
Agents and Artificial Intelligence (ICAART 2020) -- Special Session on Natural
Language Processing in Artificial Intelligence (NLPinAI 2020), Valetta, Malta,
2020, pp. 391--400.
mla: Kersting, Joschka, and Michaela Geierhos. “Aspect Phrase Extraction in Sentiment
Analysis with Deep Learning.” Proceedings of the 12th International Conference
on Agents and Artificial Intelligence (ICAART 2020) -- Special Session on Natural
Language Processing in Artificial Intelligence (NLPinAI 2020), SCITEPRESS,
2020, pp. 391--400.
short: 'J. Kersting, M. Geierhos, in: Proceedings of the 12th International Conference
on Agents and Artificial Intelligence (ICAART 2020) -- Special Session on Natural
Language Processing in Artificial Intelligence (NLPinAI 2020), SCITEPRESS, Setúbal,
Portugal, 2020, pp. 391--400.'
conference:
location: Valetta, Malta
name: International Conference on Agents and Artificial Intelligence (ICAART) -- Special
Session on Natural Language Processing in Artificial Intelligence (NLPinAI)
date_created: 2020-01-15T08:35:07Z
date_updated: 2022-01-06T06:52:29Z
ddc:
- '000'
department:
- _id: '579'
file:
- access_level: closed
content_type: application/pdf
creator: jkers
date_created: 2020-09-18T09:27:00Z
date_updated: 2020-09-18T09:27:00Z
file_id: '19576'
file_name: Kersting & Geierhos (2020), Kersting2020.pdf
file_size: 421780
relation: main_file
success: 1
file_date_updated: 2020-09-18T09:27:00Z
has_accepted_license: '1'
keyword:
- Deep Learning
- Natural Language Processing
- Aspect-based Sentiment Analysis
language:
- iso: eng
page: 391--400
place: Setúbal, Portugal
project:
- _id: '3'
name: SFB 901 - Project Area B
- _id: '1'
name: SFB 901
- _id: '9'
name: SFB 901 - Subproject B1
publication: Proceedings of the 12th International Conference on Agents and Artificial
Intelligence (ICAART 2020) -- Special Session on Natural Language Processing in
Artificial Intelligence (NLPinAI 2020)
publisher: SCITEPRESS
status: public
title: Aspect Phrase Extraction in Sentiment Analysis with Deep Learning
type: conference
user_id: '58701'
year: '2020'
...
---
_id: '15256'
abstract:
- lang: eng
text: This paper deals with online customer reviews of local multi-service providers.
While many studies investigate product reviews and online labour markets with
service providers delivering intangible products “over the wire”, we focus on
websites where providers offer multiple distinct services that can be booked,
paid and reviewed online but are performed locally offline. This type of service
providers has so far been neglected in the literature. This paper analyses reviews
and applies sentiment analysis. It aims to gain new insights into local multi-service
providers’ performance. There is a broad literature range presented with regard
to the topics addressed. The results show, among other things, that providers
with good ratings continue to perform well over time. We find that many positive
reviews seem to encourage sales. On average, quantitative star ratings and qualitative
ratings in the form of review texts match. Further results are also achieved in
this study.
author:
- first_name: Joschka
full_name: Kersting, Joschka
id: '58701'
last_name: Kersting
- first_name: Michaela
full_name: Geierhos, Michaela
id: '42496'
last_name: Geierhos
orcid: 0000-0002-8180-5606
citation:
ama: 'Kersting J, Geierhos M. What Reviews in Local Online Labour Markets Reveal
about the Performance of Multi-Service Providers. In: Proceedings of the 9th
International Conference on Pattern Recognition Applications and Methods.
Setúbal, Portugal: SCITEPRESS; 2020:263--272.'
apa: 'Kersting, J., & Geierhos, M. (2020). What Reviews in Local Online Labour
Markets Reveal about the Performance of Multi-Service Providers. In Proceedings
of the 9th International Conference on Pattern Recognition Applications and Methods
(pp. 263--272). Setúbal, Portugal: SCITEPRESS.'
bibtex: '@inproceedings{Kersting_Geierhos_2020, place={Setúbal, Portugal}, title={What
Reviews in Local Online Labour Markets Reveal about the Performance of Multi-Service
Providers}, booktitle={Proceedings of the 9th International Conference on Pattern
Recognition Applications and Methods}, publisher={SCITEPRESS}, author={Kersting,
Joschka and Geierhos, Michaela}, year={2020}, pages={263--272} }'
chicago: 'Kersting, Joschka, and Michaela Geierhos. “What Reviews in Local Online
Labour Markets Reveal about the Performance of Multi-Service Providers.” In Proceedings
of the 9th International Conference on Pattern Recognition Applications and Methods,
263--272. Setúbal, Portugal: SCITEPRESS, 2020.'
ieee: J. Kersting and M. Geierhos, “What Reviews in Local Online Labour Markets
Reveal about the Performance of Multi-Service Providers,” in Proceedings of
the 9th International Conference on Pattern Recognition Applications and Methods,
Valetta, Malta, 2020, pp. 263--272.
mla: Kersting, Joschka, and Michaela Geierhos. “What Reviews in Local Online Labour
Markets Reveal about the Performance of Multi-Service Providers.” Proceedings
of the 9th International Conference on Pattern Recognition Applications and Methods,
SCITEPRESS, 2020, pp. 263--272.
short: 'J. Kersting, M. Geierhos, in: Proceedings of the 9th International Conference
on Pattern Recognition Applications and Methods, SCITEPRESS, Setúbal, Portugal,
2020, pp. 263--272.'
conference:
location: Valetta, Malta
name: International Conference on Pattern Recognition Applications and Methods (ICPRAM)
date_created: 2019-12-06T13:09:42Z
date_updated: 2022-01-06T06:52:19Z
ddc:
- '000'
department:
- _id: '579'
file:
- access_level: closed
content_type: application/pdf
creator: jkers
date_created: 2020-09-18T09:27:41Z
date_updated: 2020-09-18T09:27:41Z
file_id: '19577'
file_name: Kersting & Geierhos (2020c), Kersting2020c.pdf
file_size: 963370
relation: main_file
success: 1
file_date_updated: 2020-09-18T09:27:41Z
has_accepted_license: '1'
keyword:
- Customer Reviews
- Sentiment Analysis
- Online Labour Markets
language:
- iso: eng
page: 263--272
place: Setúbal, Portugal
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '9'
name: SFB 901 - Subproject B1
publication: Proceedings of the 9th International Conference on Pattern Recognition
Applications and Methods
publisher: SCITEPRESS
status: public
title: What Reviews in Local Online Labour Markets Reveal about the Performance of
Multi-Service Providers
type: conference
user_id: '58701'
year: '2020'
...
---
_id: '1135'
abstract:
- lang: eng
text: 'In this paper, we describe our system developed for the GErman SenTiment
AnaLysis shared Task (GESTALT) for participation in the Maintask 2: Subjective
Phrase and Aspect Extraction from Product Reviews. We present a tool, which identifies
subjective and aspect phrases in German product reviews. For the recognition of
subjective phrases, we pursue a lexicon-based approach. For the extraction of
aspect phrases from the reviews, we consider two possible ways: Besides the subjectivity
and aspect look-up, we also implemented a method to establish which subjective
phrase belongs to which aspect. The system achieves better results for the recognition
of aspect phrases than for the subjective identification.'
author:
- first_name: Markus
full_name: Dollmann, Markus
id: '27578'
last_name: Dollmann
- first_name: Michaela
full_name: Geierhos, Michaela
id: '42496'
last_name: Geierhos
orcid: 0000-0002-8180-5606
citation:
ama: 'Dollmann M, Geierhos M. SentiBA: Lexicon-based Sentiment Analysis on German
Product Reviews. In: Faaß G, Ruppenhofer J, eds. Workshop Proceedings of the
12th Edition of the KONVENS Conference. Hildesheim, Germany: Universitätsverlag
Hildesheim; 2014:185-191.'
apa: 'Dollmann, M., & Geierhos, M. (2014). SentiBA: Lexicon-based Sentiment
Analysis on German Product Reviews. In G. Faaß & J. Ruppenhofer (Eds.), Workshop
Proceedings of the 12th Edition of the KONVENS Conference (pp. 185–191). Hildesheim,
Germany: Universitätsverlag Hildesheim.'
bibtex: '@inproceedings{Dollmann_Geierhos_2014, place={Hildesheim, Germany}, title={SentiBA:
Lexicon-based Sentiment Analysis on German Product Reviews}, booktitle={Workshop
Proceedings of the 12th Edition of the KONVENS Conference}, publisher={Universitätsverlag
Hildesheim}, author={Dollmann, Markus and Geierhos, Michaela}, editor={Faaß, Gertrud
and Ruppenhofer, JosefEditors}, year={2014}, pages={185–191} }'
chicago: 'Dollmann, Markus, and Michaela Geierhos. “SentiBA: Lexicon-Based Sentiment
Analysis on German Product Reviews.” In Workshop Proceedings of the 12th Edition
of the KONVENS Conference, edited by Gertrud Faaß and Josef Ruppenhofer, 185–91.
Hildesheim, Germany: Universitätsverlag Hildesheim, 2014.'
ieee: 'M. Dollmann and M. Geierhos, “SentiBA: Lexicon-based Sentiment Analysis on
German Product Reviews,” in Workshop Proceedings of the 12th Edition of the
KONVENS Conference, Hildesheim, Germany, 2014, pp. 185–191.'
mla: 'Dollmann, Markus, and Michaela Geierhos. “SentiBA: Lexicon-Based Sentiment
Analysis on German Product Reviews.” Workshop Proceedings of the 12th Edition
of the KONVENS Conference, edited by Gertrud Faaß and Josef Ruppenhofer, Universitätsverlag
Hildesheim, 2014, pp. 185–91.'
short: 'M. Dollmann, M. Geierhos, in: G. Faaß, J. Ruppenhofer (Eds.), Workshop Proceedings
of the 12th Edition of the KONVENS Conference, Universitätsverlag Hildesheim,
Hildesheim, Germany, 2014, pp. 185–191.'
conference:
end_date: 2014-10-10
location: Hildesheim, Germany
name: 12th Konferenz zur Verarbeitung Natürlicher Sprache (KONVENS 2014)
start_date: 2014-10-08
date_created: 2018-01-30T15:46:56Z
date_updated: 2022-01-06T06:50:59Z
department:
- _id: '36'
- _id: '1'
- _id: '579'
editor:
- first_name: Gertrud
full_name: Faaß, Gertrud
last_name: Faaß
- first_name: Josef
full_name: Ruppenhofer, Josef
last_name: Ruppenhofer
keyword:
- corpus linguistics
- sentiment analysis
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://hildok.bsz-bw.de/files/297/04_03.pdf
oa: '1'
page: 185-191
place: Hildesheim, Germany
publication: Workshop Proceedings of the 12th Edition of the KONVENS Conference
publication_identifier:
isbn:
- 978-3-934105-47-8
publication_status: published
publisher: Universitätsverlag Hildesheim
quality_controlled: '1'
status: public
title: 'SentiBA: Lexicon-based Sentiment Analysis on German Product Reviews'
type: conference
user_id: '42496'
year: '2014'
...
---
_id: '4696'
author:
- first_name: Jan
full_name: vom Brocke, Jan
last_name: vom Brocke
- first_name: Stefan
full_name: Debortoli, Stefan
last_name: Debortoli
- first_name: Nadine
full_name: Reuter, Nadine
last_name: Reuter
- first_name: Oliver
full_name: Müller, Oliver
id: '72849'
last_name: Müller
citation:
ama: 'vom Brocke J, Debortoli S, Reuter N, Müller O. How In-Memory Technology Can
Create Business Value: Lessons Learned from Hilti. Communications of the Association
for Information Systems. 2014:151--167. doi:10.17705/1CAIS.03407'
apa: 'vom Brocke, J., Debortoli, S., Reuter, N., & Müller, O. (2014). How In-Memory
Technology Can Create Business Value: Lessons Learned from Hilti. Communications
of the Association for Information Systems, 151--167. https://doi.org/10.17705/1CAIS.03407'
bibtex: '@article{vom Brocke_Debortoli_Reuter_Müller_2014, title={How In-Memory
Technology Can Create Business Value: Lessons Learned from Hilti}, DOI={10.17705/1CAIS.03407},
journal={Communications of the Association for Information Systems}, author={vom
Brocke, Jan and Debortoli, Stefan and Reuter, Nadine and Müller, Oliver}, year={2014},
pages={151--167} }'
chicago: 'Brocke, Jan vom, Stefan Debortoli, Nadine Reuter, and Oliver Müller. “How
In-Memory Technology Can Create Business Value: Lessons Learned from Hilti.” Communications
of the Association for Information Systems, 2014, 151--167. https://doi.org/10.17705/1CAIS.03407.'
ieee: 'J. vom Brocke, S. Debortoli, N. Reuter, and O. Müller, “How In-Memory Technology
Can Create Business Value: Lessons Learned from Hilti,” Communications of the
Association for Information Systems, pp. 151--167, 2014.'
mla: 'vom Brocke, Jan, et al. “How In-Memory Technology Can Create Business Value:
Lessons Learned from Hilti.” Communications of the Association for Information
Systems, 2014, pp. 151--167, doi:10.17705/1CAIS.03407.'
short: J. vom Brocke, S. Debortoli, N. Reuter, O. Müller, Communications of the
Association for Information Systems (2014) 151--167.
date_created: 2018-10-12T08:30:38Z
date_updated: 2022-01-06T07:01:18Z
doi: 10.17705/1CAIS.03407
extern: '1'
keyword:
- Advanced business analytics
- Big Data
- Business intelligence
- IT business value
- In-memory technology
- OLAP
- OLTP
- Realtime analytics
- Sentiment analysis
language:
- iso: eng
page: 151--167
publication: Communications of the Association for Information Systems
publication_identifier:
issn:
- '15293181'
status: public
title: 'How In-Memory Technology Can Create Business Value: Lessons Learned from Hilti'
type: journal_article
user_id: '72849'
year: '2014'
...
---
_id: '13322'
abstract:
- lang: eng
text: Previous research suggests the existence of sentiments in online social networks.
In comparison to real life human interaction, in which sentiments have been shown
to have an influence on human behaviour, it is not yet completely understood which
mechanisms explain how sentiments influence users in online environments. We develop
a theoretical framework that tries to bridge the gap between social influence
theories that focus on offline interactions on one hand and online interaction
in social networks on the other hand. We then test our hypothesis about the influence
and dissemination of sentiments in a quantitative analysis that is based on retrieved
textual messages of communication patterns in over 12000 online social networks.
Our empirical results suggest a general influence of sentiments on node communication
patterns that is evidenced by increased occurrences of subsequent messages that
express the same sentiment polarization. We interpret these findings and suggest
future research to advance our currently limited theories that assume perceived
and generalized social influence to path-dependent social influence models that
consider actual behaviour.
author:
- first_name: Robert
full_name: Hillmann, Robert
last_name: Hillmann
- first_name: Matthias
full_name: Trier, Matthias
id: '72744'
last_name: Trier
citation:
ama: 'Hillmann R, Trier M. Influence and Dissemination Of Sentiments in Social Network
Communication Patterns. In: ECIS 2013 Proceedings. Association for Information
Systems. AIS Electronic Library (AISeL); 2013.'
apa: Hillmann, R., & Trier, M. (2013). Influence and Dissemination Of Sentiments
in Social Network Communication Patterns. In ECIS 2013 Proceedings. Association
for Information Systems. AIS Electronic Library (AISeL).
bibtex: '@inproceedings{Hillmann_Trier_2013, title={Influence and Dissemination
Of Sentiments in Social Network Communication Patterns}, booktitle={ECIS 2013
Proceedings}, publisher={Association for Information Systems. AIS Electronic Library
(AISeL)}, author={Hillmann, Robert and Trier, Matthias}, year={2013} }'
chicago: Hillmann, Robert, and Matthias Trier. “Influence and Dissemination Of Sentiments
in Social Network Communication Patterns.” In ECIS 2013 Proceedings. Association
for Information Systems. AIS Electronic Library (AISeL), 2013.
ieee: R. Hillmann and M. Trier, “Influence and Dissemination Of Sentiments in Social
Network Communication Patterns,” in ECIS 2013 Proceedings, 2013.
mla: Hillmann, Robert, and Matthias Trier. “Influence and Dissemination Of Sentiments
in Social Network Communication Patterns.” ECIS 2013 Proceedings, Association
for Information Systems. AIS Electronic Library (AISeL), 2013.
short: 'R. Hillmann, M. Trier, in: ECIS 2013 Proceedings, Association for Information
Systems. AIS Electronic Library (AISeL), 2013.'
date_created: 2019-09-19T11:38:37Z
date_updated: 2022-01-06T06:51:33Z
department:
- _id: '198'
keyword:
- Social Network Analysis
- Sentiment Analysis
- Communication Patterns
language:
- iso: eng
publication: ECIS 2013 Proceedings
publication_identifier:
isbn:
- '9783834924421'
publisher: Association for Information Systems. AIS Electronic Library (AISeL)
status: public
title: Influence and Dissemination Of Sentiments in Social Network Communication Patterns
type: conference
user_id: '62809'
year: '2013'
...