Essays about: "IMDb Movie Reviews"

Found 5 essays containing the words IMDb Movie Reviews.

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

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

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

    Abstract : 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. READ MORE

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

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

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

    Abstract : 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. READ MORE

  3. 3. Using Semi-Supervised Learning for Email Classification

    University essay from KTH/Matematik (Avd.)

    Author : Anders Inde; [2022]
    Keywords : applied mathematics; semi-supervised learning; self-training; doc2vec; classification; tillämpad matematik; semi-vägledd inlärning; self-training; doc2vec; klassificering;

    Abstract : In this thesis, we investigate the use of self-training, a semi-supervised learning method, to improve binary classification of text documents. This means making use of unlabeled samples, since labeled samples can be expensive to generate. More specifically, we want to classify emails that are retrieved by Skandinaviska Enskilda Banken (SEB). READ MORE

  4. 4. "This Is a Forced Feminist Agenda" : IMDb users and their understanding of feminism negotiated in the reviews of superheroine films

    University essay from Linnéuniversitetet/Institutionen för språk (SPR)

    Author : Alzbeta Budirska; [2021]
    Keywords : feminism; IMDb; Superhero films; Reviews; Wonder Woman; Captain Marvel; Birds of Prey; Wonder Woman 1984;

    Abstract : The thesis examines how users of the Internet Movie Database (IMDb) negotiate feminism in their reviews of four superheroine films – Wonder Woman, Captain Marvel, Birds of Prey: The Fantabulous Emancipation of One Harley Quinn, and Wonder Woman 1984. By combining critical discourse analysis with methods of corpus linguists, this corpus-based study of over 18,000 reviews analyses the frequency of the topic of feminism in the reviews, words and topics associated with it and the way the reviewers reflect broader mediated discourse over the four films, and the role of IMDb as a space for these reviews. READ MORE

  5. 5. Combining Lexicon- and Learning-based Approaches for Improved Performance and Convenience in Sentiment Classification

    University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)

    Author : Fredrik Sommar; Milosz Wielondek; [2015]
    Keywords : sentiment classification; sentiment analysis; opinion mining; lexicon; machine learning; hybrid; movie reviews; social media;

    Abstract : Sentiment classification is the process of categorizing data into categories based on its polarity with a wide array of applications across several industries. This report examines a combination of two prominent approaches to sentiment classification using a lexicon of weighted words and machine learning respectively. READ MORE