Sökning: "klassificering av konversationer"

Hittade 3 uppsatser innehållade orden klassificering av konversationer.

  1. 1. Incorporating speaker’s role in classification of text-based dialogues

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

    Författare :Therese Stålhandske; [2020]
    Nyckelord :Natural Language Processing; Text classification; Binary Classification; Conversations; Speaker context; Hierarchical Attention Networks; Attention; Role Dependent Classification Model; Språkteknologi; klassificering av konversationer; textklassifisering; neurala nätverk;

    Sammanfattning : Dialogues are an interesting type of document, as they contain a speaker role feature not found in other types of texts. Previous work has included incorporating a speaker role dependency in text-generation, but little has been done in the realm of text classification. LÄS MER

  3. 2. The Effect of Data Quantity on Dialog System Input Classification Models

    M1-uppsats, KTH/Hälsoinformatik och logistik

    Författare :Johan Lipecki; Viggo Lundén; [2018]
    Nyckelord :Chatbot; Chatterbot; Virtual Assistant; Dialog System; Natural Language Understanding; Word Embedding; Word Vector Models; Text Classification; Chattbot; Virtuell Assistent; Dialogsystem; Naturlig språkbehandling; Ordinbäddning; Ordvektormodeller; Textklassificering;

    Sammanfattning : This paper researches how different amounts of data affect different word vector models for classification of dialog system user input. A hypothesis is tested that there is a data threshold for dense vector models to reach the state-of-the-art performance that have been shown with recent research, and that character-level n-gram word-vector classifiers are especially suited for Swedish classifiers–because of compounding and the character-level n-gram model ability to vectorize out-of-vocabulary words. LÄS MER

  4. 3. A Machine Learning Approach to Dialogue Act Classification in Human-Robot Conversations : Evaluation of dialogue act classification with the robot Furhat and an analysis of the market for social robots used for education

    Kandidat-uppsats, KTH/Skolan för datavetenskap och kommunikation (CSC); KTH/Skolan för industriell teknik och management (ITM)

    Författare :Nina Olofsson; Nivin Fakih; [2015]
    Nyckelord :dialogue act; dialogue act classification; furhat; furhat robotics; classification; j48; machine learning; weka; robotics; education robots; swot; market segmentation; talhandlingar; furhat; furhat robotics; klassificering; j48; maskininlärning; weka; robotik; utbildningsrobotar; swot; marknadssegmentering;

    Sammanfattning : The interest in social robots has grown dramatically in the last decade. Several studies have investigated the potential markets for such robots and how to enhance their human-like abilities. Both of these subjects have been investigated in this thesis using the company Furhat Robotics, and their robot Furhat, as a case study. LÄS MER