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1 Ergebnisse
1
A Data-Driven Approach for Finding Requirements Relevant Fe..:
, In:
2023 IEEE 31st International Requirements Engineering Conference (RE)
,
Sihag, Manish
;
Li, Ze Shi
;
Dash, Amanda
... - p. 111-122 , 2023
Link:
https://doi.org/10.1109/RE57278.2023.00020
RT T1 <cTitle>2023 IEEE 31st International Requirements Engineering Conference (RE)</cTitle>: T1 <Title>A Data-Driven Approach for Finding Requirements Relevant Feedback from TikTok and YouTube</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10260934&Exemplar=1&LAN=DE A1 Sihag, Manish A1 Li, Ze Shi A1 Dash, Amanda A1 Arony, Nowshin Nawar A1 Devathasan, Kezia A1 Ernst, Neil A1 Albu, Alexandra Branzan A1 Damian, Daniela YR 2023 SN 2332-6441 K1 Industries K1 Deep learning K1 Visualization K1 Video on demand K1 Social networking (online) K1 Soft sensors K1 Computer bugs K1 Requirement Elicitation K1 User Feedback K1 Video Platforms K1 Classification K1 TikTok K1 YouTube SP 111 OP 122 LK http://dx.doi.org/https://doi.org/10.1109/RE57278.2023.00020 DO https://doi.org/10.1109/RE57278.2023.00020 SF ELIB - SuUB Bremen
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