Sökning: "Word Vector Models"

Visar resultat 1 - 5 av 15 uppsatser innehållade orden Word Vector Models.

  1. 1. Determining linguistic predictor for the classification of subjective cognitive impairment and mild cognitive impairment using machine learning

    Master-uppsats, Göteborgs universitet / Institutionen för filosofi, lingvistik och vetenskapsteori

    Författare :Tian Wang; [2020-09-01]
    Nyckelord :mild cognitive impairment; sibjective cognitive impairment; natural language processing; support vector machine; neural networks;

    Sammanfattning : Introduction Mild Cognitive Impairment (MCI) is a neurological condition characterized by cognitive decline greater than expected for an individual's age and education level. Subjective Cognitive Impairment (SCI) is a selfreported decline in cognitive abilities but not clinically identified as MCI. LÄS MER

  2. 2. Automatic Patent Classification


    Författare :Nala Yehe; [2020]
    Nyckelord :XGBoost; support vector machine SVM ; random forest; decision tree; machine learning; text data mining; patent classification; IPC;

    Sammanfattning : Patents have a great research value and it is also beneficial to the community of industrial, commercial, legal and policymaking. Effective analysis of patent literature can reveal important technical details and relationships, and it can also explain business trends, propose novel industrial solutions, and make crucial investment decisions. LÄS MER

  3. 3. Word2vec2syn : Synonymidentifiering med Word2vec

    Kandidat-uppsats, Linköpings universitet/Statistik och maskininlärning

    Författare :Tove Pettersson; [2019]
    Nyckelord :Word2vec; synonym identification; vector space model; word vectors; cosine similarity; Word2vec; synonymidentifiering; vektorrymdsmodell; ordvektorer; cosinuslikhet;

    Sammanfattning : Inom NLP (eng. natural language processing) är synonymidentifiering en av de språkvetenskapliga utmaningarna som många antar. Fodina Language Technology AB är ett företag som skapat ett verktyg, Termograph, ämnad att samla termer inom företag och hålla den interna språkanvändningen konsekvent. LÄS MER

  4. 4. General Purpose Vector Representation for Swedish Documents : An application of Neural Language Models

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysik

    Författare :Simon Hedström; [2019]
    Nyckelord :;

    Sammanfattning : This thesis is a proof-of-concept for embedding Swedish documents using continuous vectors. These vectors can be used as input in any subsequent task and serves as an alternative to discrete bag of words vectors. The differences goes beyond fewer dimensions as the continuous vectors also hold contextual information. LÄS MER

  5. 5. Automatic Dispatching of Issues using Machine Learning

    Master-uppsats, Linköpings universitet/Programvara och systemLinköpings universitet/Tekniska fakulteten; Linköpings universitet/Programvara och systemLinköpings universitet/Tekniska fakulteten

    Författare :Fredrik Bengtsson; Adam Combler; [2019]
    Nyckelord :NLP; Machine Learning; Convolutional Neural Networks; CNN; SVM; bug report; issue; text classification;

    Sammanfattning : Many software companies use issue tracking systems to organize their work. However, when working on large projects, across multiple teams, a problem of finding the correctteam to solve a certain issue arises. One team might detect a problem, which must be solved by another team. LÄS MER