---
_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: <i>Proceedings of the 12th International Conference on Agents
    and Artificial Intelligence (ICAART 2020) --  Special Session on Natural Language
    Processing in Artificial Intelligence (NLPinAI 2020)</i>. Setúbal, Portugal: SCITEPRESS;
    2020:391--400.'
  apa: 'Kersting, J., &#38; Geierhos, M. (2020). Aspect Phrase Extraction in Sentiment
    Analysis with Deep Learning. In <i>Proceedings of the 12th International Conference
    on Agents and Artificial Intelligence (ICAART 2020) --  Special Session on Natural
    Language Processing in Artificial Intelligence (NLPinAI 2020)</i> (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 <i>Proceedings of the 12th International
    Conference on Agents and Artificial Intelligence (ICAART 2020) --  Special Session
    on Natural Language Processing in Artificial Intelligence (NLPinAI 2020)</i>,
    391--400. Setúbal, Portugal: SCITEPRESS, 2020.'
  ieee: J. Kersting and M. Geierhos, “Aspect Phrase Extraction in Sentiment Analysis
    with Deep Learning,” in <i>Proceedings of the 12th International Conference on
    Agents and Artificial Intelligence (ICAART 2020) --  Special Session on Natural
    Language Processing in Artificial Intelligence (NLPinAI 2020)</i>, Valetta, Malta,
    2020, pp. 391--400.
  mla: Kersting, Joschka, and Michaela Geierhos. “Aspect Phrase Extraction in Sentiment
    Analysis with Deep Learning.” <i>Proceedings of the 12th International Conference
    on Agents and Artificial Intelligence (ICAART 2020) --  Special Session on Natural
    Language Processing in Artificial Intelligence (NLPinAI 2020)</i>, 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'
...