loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock
Is It Possible to Recognize Apple Employees by Their LinkedIn Profile Picture?

Topics: Applications: Image Processing and Artificial Vision, Pattern Recognition, Decision Making, Industrial and Real World Applications, Financial Applications, Neural Prostheses and Medical Applications, Neural Based Data Mining and Complex Information Process; Convolutional Neural Networks; Neural based Implementation, Applications and Solutions

Authors: Thanakij Wanavit and Leslie Klieb

Affiliation: Business and Technology, Webster University Thailand, 1 Empire Tower, Sathorn Rd., Bangkok 10120, Thailand

Keyword(s): Convolutional Neural Networks, Emotion Recognition, Employment at Apple, EmoPy, Random Forest Classifier, Classifying Employment from Emotions.

Abstract: Samples of images from the portraits on the profiles of members of the social media site LinkedIn who live in the Bay Area of San Francisco were collected and analyzed by the EmoPy package for the presence of seven emotions. A Random Forest classifier used these probabilities to predict if the members were employed by Apple or not. Accuracy reached around 62% compared with a naive error rate of 50%. An error analysis shows that this result is significant and robust. A connection between the data and Apple’s organizational culture is pointed out.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.225.95.107

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Wanavit, T. and Klieb, L. (2021). Is It Possible to Recognize Apple Employees by Their LinkedIn Profile Picture?. In Proceedings of the 13th International Joint Conference on Computational Intelligence (IJCCI 2021) - NCTA; ISBN 978-989-758-534-0; ISSN 2184-3236, SciTePress, pages 277-284. DOI: 10.5220/0010642300003063

@conference{ncta21,
author={Thanakij Wanavit. and Leslie Klieb.},
title={Is It Possible to Recognize Apple Employees by Their LinkedIn Profile Picture?},
booktitle={Proceedings of the 13th International Joint Conference on Computational Intelligence (IJCCI 2021) - NCTA},
year={2021},
pages={277-284},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010642300003063},
isbn={978-989-758-534-0},
issn={2184-3236},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computational Intelligence (IJCCI 2021) - NCTA
TI - Is It Possible to Recognize Apple Employees by Their LinkedIn Profile Picture?
SN - 978-989-758-534-0
IS - 2184-3236
AU - Wanavit, T.
AU - Klieb, L.
PY - 2021
SP - 277
EP - 284
DO - 10.5220/0010642300003063
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic