Sökning: "movie prediction"

Visar resultat 1 - 5 av 18 uppsatser innehållade orden movie prediction.

1. 1. Recommender Systems Using Limited Dataset Sizes

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

   Författare :Carl Bentzer; Harry Thulin; [2023]
   Nyckelord :;

   Sammanfattning : In order to create personalized recommendations for users on services such as e-commerce websites and streaming platforms, recommender systems often utilize various machine learning techniques. A common technique used in recommender systems is collaborative filtering which creates rating predictions based on similar users’ interests. LÄS MER

3. 2. Forecasting U.S. Movie Gross Revenues : A Random Forest Classifier Approach Based on Pre-production Data

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

   Författare :Isak Einberg; Arian Hanifi; [2023]
   Nyckelord :;

   Sammanfattning : Blockbusters screening in cinemas often include star-studded casts in hope of becoming profitable. However, producing a movie is associated with great risk. More than half of the movies released between 2008 and 2012 in the U.S. LÄS MER

4. 3. Lost in Translation - A study exploring how the origin of the story affects a movie's financial success

   C-uppsats, Handelshögskolan i Stockholm/Institutionen för nationalekonomi

   Författare :Theo Renaudin; [2022]
   Nyckelord :Movie Production; Origin of story; ROI; Prediction; Decision-making;

   Sammanfattning : The purpose of this study is to investigate how the Return-on-Investment of a movie is impacted by the origin of the movie's story, for instance an existing fictional book, a real-life event or an original script. The objective is to better understand the potential financial success of a movie at the very early pre-production stage, minimising investment risks and optimising portfolio strategy. LÄS MER

5. 4. 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

7. 5. Movie prediction based on movie scriptsusing Natural Language Processing and Machine Learning Algorithms

   Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :Govardhan Arikatla; Bhargav Chinnapottu; [2021]
   Nyckelord :;

   Sammanfattning : .... LÄS MER