Sökning: "Text classification"

Visar resultat 16 - 20 av 362 uppsatser innehållade orden Text classification.

1. 16. Exploring GPT models as biomedical knowledge bases : By evaluating prompt methods for extracting information from language models pre-trained on scientific articles

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

   Författare :Ebba Hellberg; [2023]
   Nyckelord :Language model; GPT; knowledge probing; information extraction; prompt methods; Språkmodell; GPT; kunskapsbas; informationsextraktion; prompt-metoder;

   Sammanfattning : Scientific findings recorded in literature help continuously guide scientific advancements, but manual approaches to accessing that knowledge are insufficient due to the sheer quantity of information and data available. Although pre-trained language models are being explored for their utility as knowledge bases and structured data repositories, there is a lack of research for this application in the biomedical domain. LÄS MER

3. 17. Ensuring Brand Safety by Using Contextual Text Features: A Study of Text Classification with BERT

   Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

   Författare :Lingqing Song; [2023]
   Nyckelord :;

   Sammanfattning : When advertisements are placed on web pages, the context in which the advertisements are presented is important. For example, manufacturers of kitchen knives may not want their advertisement to appear in a news article about a knife-wielding murderer. LÄS MER

4. 18. Prompt-learning and Zero-shot Text Classification with Domain-specific Textual Data

   Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

   Författare :Hengyu Luo; [2023]
   Nyckelord :prompt-learning; zero-shot; few-shot; text classification; domain-specific; retail sector domain; customer-agent interaction; transformer; large language models; ChatGPT; natural language processing; machine learning; deep learning;

   Sammanfattning : The rapid growth of textual data in the digital age presents unique challenges in domain-specific text classification, particularly the scarcity of labeled data for many applications, due to expensive cost of manual labeling work. In this thesis, we explore the applicability of prompt-learning method, which is well-known for being suitable in few-shot scenarios and much less data-consuming, as an emerging alternative to traditional fine-tuning methods, for domain-specific text classification in the context of customer-agent interactions in the retail sector. LÄS MER

5. 19. Från marginalisering mot samhörighet : En kritisk studie kring klassifikation

   Kandidat-uppsats, Högskolan i Borås/Akademin för bibliotek, information, pedagogik och IT

   Författare :Karin Persson; Emelie Schramm; [2023]
   Nyckelord :kunskapsorganisation; klassifikation; marginalisering; diskursanalys; DDC; intersektionalitet; genus; Foucault;

   Sammanfattning : The main focus of this bachelor thesis concerns the discourses presented in texts on critical classification about marginalized groups. The text explores some of the difficulties that can stem from the idea that there is a possibility of objectivity within classification and cataloguing, as they are not a neutral occurrence but controlled by constructs such as ideological thinking and bias. LÄS MER

7. 20. Developing an Advanced Method for Kinship from Ancient DNA Data

   Master-uppsats, Uppsala universitet/Institutionen för biologisk grundutbildning

   Författare :Erkin Alacamli; [2023]
   Nyckelord :aDNA; ancient DNA; kinship estimation;

   Sammanfattning :  The analysis of kinship from ancient DNA (aDNA) data has the potential to provide insight into social structures of prehistoric societies. Kinship analysis is gaining popularity as optimised wet-lab methods allow for studies with sample sizes on the level of whole cemeteries. LÄS MER