Sentiment analysis for a swiss gig platform company
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Autor:innen
Autor:in (Körperschaft)
Publikationsdatum
2019
Typ der Arbeit
Studiengang
Typ
06 - Präsentation
Herausgeber:innen
Herausgeber:in (Körperschaft)
Betreuer:in
Übergeordnetes Werk
Themenheft
DOI der Originalpublikation
Link
Reihe / Serie
Reihennummer
Jahrgang / Band
Ausgabe / Nummer
Seiten / Dauer
Patentnummer
Verlag / Herausgebende Institution
Verlagsort / Veranstaltungsort
Winterthur
Auflage
Version
Programmiersprache
Abtretungsempfänger:in
Praxispartner:in/Auftraggeber:in
Zusammenfassung
We work with a Swiss Gig Platform Company to identify innovative solutions which could strengthen its position as a market leader in Switzerland and Europe. The company mediates between employers and employees in short term work contracts via a platform system. We first looked at the business processes and saw that some process parts were not being controlled by the company, which is now being remedied. Second, we analyzed the job reviews which the employers and employees write, and implemented a prototype which can detect negative statements automatically, even if the review is positive overall. We worked with a dataset of 963 job reviews from employers and employees, in German, French and English. The reviews have a star rating (1 to 4 stars), with some discrepancies between the star rating and the text. We scored the reviews manually as negative or other, as negative reviews are important for business improvement. We tested several machine learning methods and a hybrid method from Lexalytics.
Schlagwörter
Fachgebiet (DDC)
330 - Wirtschaft
Veranstaltung
4th Swiss Text Analytics Conference (SwissText 2019)
Startdatum der Ausstellung
Enddatum der Ausstellung
Startdatum der Konferenz
18.06.2019
Enddatum der Konferenz
19.06.2019
Datum der letzten Prüfung
ISBN
ISSN
Sprache
Englisch
Während FHNW Zugehörigkeit erstellt
Ja
Publikationsstatus
Begutachtung
Peer-Review des Abstracts
Open Access-Status
Lizenz
Zitation
PUSTULKA, Elzbieta und Thomas HANNE, 2019. Sentiment analysis for a swiss gig platform company. 4th Swiss Text Analytics Conference (SwissText 2019). Winterthur. 2019. Verfügbar unter: https://irf.fhnw.ch/handle/11654/42452