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Visar resultat 1 - 5 av 16 uppsatser som matchar ovanstående sökkriterier.

1. 1. The Authenticity Imperative - Towards Building Long-Term Relationships with Social Media Influencers in the Digital Age

   Master-uppsats, Lunds universitet/Institutionen för strategisk kommunikation

   Författare :Alexandra Nuria Kunert; [2023]
   Nyckelord :social media influencer; influencer relations; authenticity; relationship management; strategic communication; Social Sciences;

   Sammanfattning : Capturing how organizations build and maintain long-term and mutual beneficial relationships with influencers is an urgent quest by both, communication practitioners and scholars. In the ever-evolving context of digitalization, navigating influencer communication remains to be a major challenge, as the concept of an authentic partnership is constantly adapting in the fast-paced social media realm. LÄS MER

3. 2. Design of a Dielectric Radome using a Ray-Tracing Model for Satellite Communications

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Flores Espinosa Núria; [2023]
   Nyckelord :Dielectric radome; Ray tracing; Array antenna; Lens antenna; Satellite communications; Radom dielèctric; Traçat de Rajos; Arranjament d’antenes; Antena de lent; Comunicacions per satèl·lit; Dielektrisk radome; Strålspårning; Gruppantenn; Linsantenn; Satellitkommunikation;

   Sammanfattning : In recent years, there has been a huge increase in the use of satellite communications. This has led to a need for more capacity, which can be solved by moving towards higher frequency bands in search of higher bandwidths. LÄS MER

4. 3. Mending the end-goal paradox of social and commercial marketing

   Magister-uppsats, Lunds universitet/Företagsekonomiska institutionen

   Författare :Klara Käll; Nuria Budesca Alameda; [2022]
   Nyckelord :Social Marketing; Emotional Communication; Behaviour; Attitudes; Brand Community; Storytelling; Norms; Aim’n; Platanomelón; Sweden; Spain; Business and Economics;

   Sammanfattning : Title: Mending the end-goal paradox of social and commercial marketing - An explorative case study of brands’ emotional communication influence on consumers’ behavioural attitudes Course: BUSN39 Business Administration: Degree Project in Global Marketing - Master level Authors: Klara Käll & Núria Budesca Alameda Supervisor: Annette Cerne Keywords: Social Marketing; Emotional Communication; Behaviour; Attitudes; Brand Community; Storytelling; Norms; Aim’n; Platanomelón; Sweden; Spain Purpose: The purpose of this study is to investigate consumers' attitudes toward social marketing behaviours communicated by brands with regards to emotions. Methodology: This research was carried out with the research philosophies of relativism for ontology and social constructionism for epistemology. LÄS MER

5. 4. Natural Language Processing Model for Log Analysis to Retrieve Solutions For Troubleshooting Processes

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Núria Marzo i Grimalt; [2021]
   Nyckelord :Trouble Report; Recommender System; BERT; Information Retrieval; Natural Language Processing; Multi-Stage Ranking; Felrapporter; Rekommendatorsystem; BERT; Informationsinhämtning; Naturlig Språkbehandling; Dubbelriktade Ranking;

   Sammanfattning : In the telecommunications industry, one of the most time-consuming tasks is troubleshooting and the resolution of Trouble Report (TR) tickets. This task involves the understanding of textual data which can be challenging due to its domain- and company-specific features. LÄS MER

7. 5. Style Transfer Paraphrasing for Consistency Training in Sentiment Classification

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Núria Casals; [2021]
   Nyckelord :Semi-Supervised Learning; Data Augmentation; Sentiment Classification; Neural Paraphrasing; Semi-övervakad inlärning; Data förändring; Sentimentklassificering; Neural parafrasering;

   Sammanfattning : Text data is easy to retrieve but often expensive to classify, which is why labeled textual data is a resource often lacking in quantity. However, the use of labeled data is crucial in supervised tasks such as text classification, but semi-supervised learning algorithms have shown that the use of unlabeled data during training has the potential to improve model performance, even in comparison to a fully supervised setting. LÄS MER