Sökning: "machine learning classification imdb"

Hittade 3 uppsatser innehållade orden machine learning classification imdb.

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

    Master-uppsats, KTH/Matematik (Avd.)

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

    Sammanfattning : 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). LÄS MER

  3. 2. Object Classification using Language Models

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Signaler och system

    Författare :Gustav From; [2022]
    Nyckelord :Classifier; BERT; machine learning; ML; language model; IMDB; word2Vec; doc2Vec; NLP;

    Sammanfattning : In today’s modern digital world more and more emails and messengers must be sent, processed and handled. The categorizing and classification of these text pieces can take an incredibly long time and will cost the company a lot of time and money. LÄS MER

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

    Kandidat-uppsats, KTH/Skolan för datavetenskap och kommunikation (CSC)

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

    Sammanfattning : 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. LÄS MER