Essays about: "doc2Vec"

Showing result 1 - 5 of 13 essays containing the word doc2Vec.

  1. 1. Natural Language Processing for Improving Search Query Results : Applied on The Swedish Armed Force's Profession Guide

    University essay from Uppsala universitet/Datalogi

    Author : Andreas Harju Schnee; [2023]
    Keywords : natural language processing; NLP; maskininlärning; ML; artificiell intelligens; AI; language model; information retrieval system; document embedding; text representation; text data augmentation;

    Abstract : Text has been the historical way of preserving and acquiring knowledge, and text data today is an increasingly growing part of the digital footprint together with the need to query this data for information. Seeking information is a constant ongoing process, and is a crucial part of many systems all around us. READ MORE

  3. 2. 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. 3. Object Classification using Language Models

    University essay from Uppsala universitet/Signaler och system

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

    Abstract : 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. READ MORE

  5. 4. Applying Natural Language Processing to document classification

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

    Author : David Kragbé; [2022]
    Keywords : Natural Language Processing; Document Classification; Embeddings; Classifiers; Naturlig Språkbehandling; Dokumentklassificering; Inbäddningar; Klassificerare;

    Abstract : In today's digital world, we produce and use more electronic documents than ever before. And this trend is far from slowing down. Particularly, more and more companies and businesses now need to treat a considerable amount of documents to deal with their clients' requests. READ MORE

  6. 5. Classifying and Comparing Latent Space Representation of Unstructured Log Data.

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

    Author : Bharat Sharma; [2021]
    Keywords : Machine learning; Natural language processing; Deep learning; Classification; Supervised learning; Transformer models; Sentence embeddings; Doc2Vec; Deep averaging networks.; Maskininlärning; naturligtspråkbehandling; djupinlärning; klassificering; övervakad inlärning; transformeringsmodeller; meningsinbäddningar; Doc2Vec; djupa linjärkombinerande nätverk.;

    Abstract : This thesis explores and compares various methods for producing vector representation of unstructured log data. Ericsson wanted to investigate machine learning methods to analyze logs produced by their systems to reduce the cost and effort required for manual log analysis. READ MORE