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ORCIDJohan Fernquist
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2020 – today
- 2021
[c10]Johan Fernquist, Björn Pelzer, Lukas Lundmark, Lisa Kaati, Fredrik Johansson:
Similarity ranking using handcrafted stylometric traits in a swedish context. ASONAM 2021: 635-642- 2020
- [c9]Lukas Lundmark, Fredrik Johansson, Björn Pelzer, Lisa Kaati, Johan Fernquist:
The Applicability of Authorship Verification to Swedish Discussion Forums. IEEE BigData 2020: 1805-1812
2010 – 2019
- 2019
- [c8]Nazar Akrami, Johan Fernquist, Tim Isbister, Lisa Kaati, Björn Pelzer:
Automatic Extraction of Personality from Text: Challenges and Opportunities. IEEE BigData 2019: 3156-3164 - [c7]Johan Fernquist, Oskar Lindholm, Lisa Kaati, Nazar Akrami:
A Study on the Feasibility to Detect Hate Speech in Swedish. IEEE BigData 2019: 4724-4729 - [c6]Johan Fernquist:
A Four Feature Types Approach for Detecting Bot and Gender of Twitter Users. CLEF (Working Notes) 2019 - [c5]Johan Fernquist, Ola Svenonius
, Lisa Kaati, Fredrik Johansson:
Extracting Account Attributes for Analyzing Influence on Twitter. EISIC 2019: 62-69 - [c4]Marianela García Lozano, Johan Fernquist:
Identifying Deceptive Reviews: Feature Exploration, Model Transferability and Classification Attack. EISIC 2019: 109-116 - [i1]Nazar Akrami, Johan Fernquist, Tim Isbister, Lisa Kaati, Björn Pelzer:
Automatic Extraction of Personality from Text: Challenges and Opportunities. CoRR abs/1910.09916 (2019) - 2018
- [c3]Johan Fernquist, Lisa Kaati:
Online Monitoring of Large Events. EISIC 2018: 47-53 - [c2]Johan Fernquist, Lisa Kaati, Ralph Schroeder:
Political Bots and the Swedish General Election. ISI 2018: 124-129 - 2017
- [c1]Johan Fernquist, Torbjorn Fangstrom, Lisa Kaati:
IoT Data Profiles: The Routines of Your Life Reveals Who You Are. EISIC 2017: 61-67
Coauthor Index
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