Sökning: "IMDb"

Visar resultat 1 - 5 av 24 uppsatser innehållade ordet IMDb.

  1. 1. Evaluating the Viability of Synthetic Pre-training Data for Face Recognition Using a CNN-Based Multiclass Classifier

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

    Författare :Lars Bergström; Dag Hjelm; [2023]
    Nyckelord :;

    Sammanfattning : Today, face recognition is becoming increasingly accurate and faster with deep learning methods such as convolutional neural networks (CNNs), and is now widely used in areas such as security and entertainment. Typically, these CNNs are trained using real-face datasets like CASIA-WebFace, which was put together using web-crawling of IMDB. LÄS MER

  3. 2. En undersökning om representationen av romantiska relationer i tre av 2010-talets populäraste romantiska komedier

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för medier och journalistik (MJ)

    Författare :Millen Gebrenegus; Gahamanyi Amélie; [2023]
    Nyckelord :Representation; Romantic comedy; Gender roles; Movie; Thematic Analysis;

    Sammanfattning : In today's society, most media users are aware that the image of reality that media producers create differs from real life. However, the knowledge about the power that the media holds is forgotten in daily media use. LÄS MER

  4. 3. Efficient Sentiment Analysis and Topic Modeling in NLP using Knowledge Distillation and Transfer Learning

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

    Författare :George Malki; [2023]
    Nyckelord :Large Language Model; RoBERTa; Knowledge distillation; Transfer learning; Sentiment analysis; Topic modeling; Stor språkmodell; RoBERTa; Kunskapsdestillation; överföringsinlärning; Sentimentanalys; Ämnesmodellering;

    Sammanfattning : This abstract presents a study in which knowledge distillation techniques were applied to a Large Language Model (LLM) to create smaller, more efficient models without sacrificing performance. Three configurations of the RoBERTa model were selected as ”student” models to gain knowledge from a pre-trained ”teacher” model. LÄS MER

  5. 4. Sentiment Analysis Of IMDB Movie Reviews : A comparative study of Lexicon based approach and BERT Neural Network model

    Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Prashuna Sai Surya Vishwitha Domadula; Sai Sumanwita Sayyaparaju; [2023]
    Nyckelord :Bag of Words BoW ; Deep Learning; IMDb Movie Reviews; Machine Learning; Natural Language Processing NLP ; Sentiment Analysis; Term Frequency- Inverse Document Frequency TF-IDF .;

    Sammanfattning : Background: Movies have become an important marketing and advertising tool that can influence consumer behaviour and trends. Reading film reviews is an im- important part of watching a movie, as it can help viewers gain a general under- standing of the film. And also, provide filmmakers with feedback on how their work is being received. LÄS MER

  7. 5. Mediating the Past and Historicizing the Present: The HBO Series Chernobyl (2019) and Its Transnational Audience Responses on IMDb

    Master-uppsats, Lunds universitet/Filmvetenskap

    Författare :Wei Xu; [2023]
    Nyckelord :Chernobyl; nuclear disaster; audience research; media and memories; cultural memory; television drama and history; Arts and Architecture; Cultural Sciences; History and Archaeology; Languages and Literatures;

    Sammanfattning : The Russian invasion of Ukraine has put the vulnerability of Ukraine’s Zaporizhzhia nuclear plant under the spotlight. Meanwhile, the remembrance and reflection of the Chernobyl disaster of 1986 has been ongoing in different media among which the HBO mini-series Chernobyl (2019) stands out and resonates transnationally. LÄS MER