Sökning: "Latent semantic analysis"

Visar resultat 1 - 5 av 11 avhandlingar innehållade orden Latent semantic analysis.

  1. 1. Semantic regression in finance

    Författare :Henrik Talborn; Handelshögskolan i Stockholm; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

    Sammanfattning : "Conditionally decomposed sLDA for characteristics decomposition and company classification" presents an extended topic model which address the problem to uncover subtle patterns related to company characteristics in text. “A method for semantic regression” proposes a method where interpretable clusters of sentences constitute the approximation of the semantic structure and hence allow for qualitative in-depth analysis of the relation between text and company characteristics. LÄS MER

  2. 2. With or without context : Automatic text categorization using semantic kernels

    Författare :Johan Eklund; Högskolan i Borås; []
    Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; automatic text categorization; subject classification; machine learning; computational linguistics; support vector machines; semantic kernels; term weighting; divergence from randomness; Library and Information Science; Biblioteks- och informationsvetenskap;

    Sammanfattning : In this thesis text categorization is investigated in four dimensions of analysis: theoretically as well as empirically, and as a manual as well as a machine-based process. In the first four chapters we look at the theoretical foundation of subject classification of text documents, with a certain focus on classification as a procedure for organizing documents in libraries. LÄS MER

  3. 3. Conceptualizing and Measuring Well-Being Using Statistical Semantics and Numerical Rating Scales

    Författare :Oscar Kjell; Institutionen för psykologi; []
    Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Well-being; Latent semantic analysis; Statistical semantics; Satisfaction with life; Harmony in life; Välbefinnande; Harmoni i livet; Tillfredsställelse med livet; Statistisk semantik; Latent semantisk analys;

    Sammanfattning : How to define and measure individuals’ well-being is important, as this has an impact on both research and society at large. This thesis concerns how to define and measure the self-reported well-being of individuals, which involves both theorizing as well as developing and applying empirical and statistical methods in order to gain a better understanding of well-being. LÄS MER

  4. 4. Generalized Hebbian Algorithm for Dimensionality Reduction in Natural Language Processing

    Författare :Genevieve Gorrell; Arne Jönsson; Robin Cooper; Alexander Rudnicky; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Generalized Hebbian Algorithm; Language Modelling; Singular Value Decomposition; Eigen Decomposition; Latent Semantic Analysis; Vector Space Models; Computational linguistics; Datorlingvistik;

    Sammanfattning : The current surge of interest in search and comparison tasks in natural language processing has brought with it a focus on vector space approaches and vector space dimensionality reduction techniques. Presenting data as points in hyperspace provides opportunities to use a variety of welldeveloped tools pertinent to this representation. LÄS MER

  5. 5. Autobiographical Memory : Depending on sensory retrieval cue and gender

    Författare :Kristina Petersén Karlsson; Fredrik Jönsson; Johan Willander; Sverker Sikström; Jonathan Koppel; Stockholms universitet; []
    Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; autobiographical memory; sensory retrieval cues; age distribution; phenomenological ratings; latent semantic analysis LSA ; linguistic inquiry word count LIWC ; gender differences; Psychology; psykologi;

    Sammanfattning : In my thesis I raised two questions: Does autobiographical memory differ i) depending on the sensory retrieval cue (Study I and II)? and ii) depending on gender (Study III)?Concerning retrieval cues, three unimodal cues (i.e., photographs, naturalistic sounds and odors) and one multimodal cue (i.e. LÄS MER