Sökning: "Bag of Words"

Visar resultat 1 - 5 av 65 uppsatser innehållade orden Bag of Words.

  1. 1. Förutsäga spelresultat i Dota 2 med NLP och maskininlärningsalgoritmer

    Master-uppsats, Jönköping University/JTH, Avdelningen för datateknik och informatik

    Författare :Bálint Sándor; Ziping Wan; [2023]
    Nyckelord :;

    Sammanfattning : Esports has grown quickly in recent years, and the business has produced a ton of specifications-based data that is simple to obtain. Because of the aforementioned traits, data mining and deep learning techniques can be used to direct participants and create winning strategies. LÄS MER

  3. 2. 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

  4. 3. Segmentation of companies using DBSCAN and K-Means

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

    Författare :Jacob Dahlkvist; William Tomczak; [2022]
    Nyckelord :;

    Sammanfattning : Data management and machine learning have become an important tool for organizations around the world, to be able to provide a basis for further processing, for example. This work aims at helping a company with mapping of corporate industries with the help of keywords from companies’ websites. We will do this with machine learning. LÄS MER

  5. 4. 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

  7. 5. Computer Vision in Fitness: Exercise Recognition and Repetition Counting

    Master-uppsats, KTH/Matematik (Avd.)

    Författare :Anna Barysheva; [2022]
    Nyckelord :Exercise classification; human action recognition; repetition counting; skeletal motion recognition; unsupervised machine learning; Övningsklassificering; igenkänning av mänsklig handling; upprepningsräkning; igenkänning av skelettrörelse; oövervakad maskininlärning;

    Sammanfattning : Motion classification and action localization have rapidly become essential tasks in computer vision and video analytics. In particular, Human Action Recognition (HAR), which has important applications in clinical assessments, activity monitoring, and sports performance evaluation, has drawn a lot of attention in research communities. LÄS MER