Sökning: "Latent Dirichlet Allocation LDA"

Visar resultat 1 - 5 av 40 uppsatser innehållade orden Latent Dirichlet Allocation LDA.

1. 1. Natural Language Processing on the Balance of theSwedish Software Industry and Higher VocationalEducation

   Kandidat-uppsats, Mittuniversitetet/Institutionen för kommunikation, kvalitetsteknik och informationssystem (2023-)

   Författare :Emil Bäckstrand; Rasmus Djupedal; [2023]
   Nyckelord :Swedish Software Industry; Higher Vocational Education; Software Engineering; Latent Dirichlet Allocation; Document Frequency Analysis;

   Sammanfattning : The Swedish software industry is fast-growing and in needof competent personnel, the education system is on the frontline of producing qualified graduates to meet the job marketdemand. Reports and studies show there exists a gapbetween industry needs and what is taught in highereducation, and that there is an undefined skills shortageleading to recruitment failures. LÄS MER

3. 2. Topic Modeling for Customer Insights : A Comparative Analysis of LDA and BERTopic in Categorizing Customer Calls

   Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistik

   Författare :Henrik Axelborn; John Berggren; [2023]
   Nyckelord :Customer Insights; Natural Language Processing; Topic Modeling; Latent Dirichlet Allocation; BERTopic;

   Sammanfattning : Customer calls serve as a valuable source of feedback for financial service providers, potentially containing a wealth of unexplored insights into customer questions and concerns. However, these call data are typically unstructured and challenging to analyze effectively. LÄS MER

4. 3. Query Search VS ChatAI: : The nature of users’ discourse of two search paradigms

   Master-uppsats, Uppsala universitet/Informationssystem

   Författare :Mansur Rahman; [2023]
   Nyckelord :Search Paradigms; Technological Frames; Discourse Analysis; Topic Modeling; Media Influence; Digitalisation; Artificial Intelligence;

   Sammanfattning : Internet search has been marked by the dominant use of query search, specifically Google, since the mid-1990s. The public release of the AI-based search tool, chatGPT, powered by a recent innovation in deep learning known as large language models (LLMs), marks a paradigm shift in internet search technology. LÄS MER

5. 4. Mining the Skies: An Exploration of Airline Reviews using LDA

   Magister-uppsats, Lunds universitet/Nationalekonomiska institutionen; Lunds universitet/Statistiska institutionen

   Författare :Joel Ljungström; [2023]
   Nyckelord :LDA; Logistic Regression; Classification Tree; Airline Reviews; Web Crawler; Business and Economics;

   Sammanfattning : Airlines face a highly competitive industry requiring large capital investment at thin profit margins. In addition, the carriers are re-emerging from the COVID-19 pandemic; a time period which brought the industry to a standstill and revenue streams to an unforeseen low. LÄS MER

7. 5. Overcoming The New Item Problem In Recommender Systems : A Method For Predicting User Preferences Of New Items

   Master-uppsats, Stockholms universitet/Statistiska institutionen

   Författare :Alice Jonason; [2023]
   Nyckelord :Recommender systems; Content-based systems; Implicit ratings; Latent Dirichlet Allocation; Vector Space Model;

   Sammanfattning : This thesis addresses the new item problem in recommender systems, which pertains to the challenges of providing personalized recommendations for items which have limited user interaction history. The study proposes and evaluates a method for generating personalized recommendations for movies, shows, and series on one of Sweden’s largest streaming platforms. LÄS MER