Sökning: "machine learning text analysis"

Visar resultat 1 - 5 av 80 uppsatser innehållade orden machine learning text analysis.

  1. 1. Text Classification of Human Resources-related Data with Machine Learning

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

    Författare :Christine Rosquist; [2021]
    Nyckelord :;

    Sammanfattning : Text classification has been an important application and research subject since the origin of digital documents. Today, as more and more data are stored in the form of electronic documents, the text classification approach is even more vital. LÄS MER

  2. 2. All Negative on the Western Front: Analyzing the Sentiment of the Russian News Coverage of Sweden with Generic and Domain-Specific Multinomial Naive Bayes and Support Vector Machines Classifiers

    Kandidat-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

    Författare :David Michel; [2021]
    Nyckelord :sentiment analysis; news sentiment; text classification; cross-domain sentiment classification; domain specificity; domain-transfer problem; transfer learning; knowledge transfer; support vector machines; SVM; multinomial naive Bayes; Sweden; Aurora 17; Russia; Russian news; RT; Sputnik; cyberwarfare; influence campaign; disinformation; fake news; propaganda;

    Sammanfattning : This thesis explores to what extent Multinomial Naive Bayes (MNB) and Support Vector Machines (SVM) classifiers can be used to determine the polarity of news, specifically the news coverage of Sweden by the Russian state-funded news outlets RT and Sputnik. Three experiments are conducted. LÄS MER

  3. 3. A Confirmatory Analysis for Automating the Evaluation of Motivation Letters to Emulate Human Judgment

    Master-uppsats, Högskolan Dalarna/Institutionen för information och teknik; Högskolan Dalarna/Institutionen för information och teknik

    Författare :Jorge Anibal Mercado Salazar; S M Masud Rana; [2021]
    Nyckelord :Motivation Letter; Natural Language Processing; Topic Modelling; Latent Dirichlet Allocation; Non-Negative Matrix Factorization; LDAVis; Topic; Factors; Image Processing; Text Processing; Logistic Regression; Unsupervised Learning; Machine Learning;

    Sammanfattning : Manually reading, evaluating, and scoring motivation letters as part of the admissions process is a time-consuming and tedious task for Dalarna University's program managers. An automated scoring system would provide them with relief as well as the ability to make much faster decisions when selecting applicants for admission. LÄS MER

  4. 4. Data Segmentation Using NLP: Gender and Age

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för datalogi; Uppsala universitet/Avdelningen för datalogi

    Författare :Gustav Demmelmaier; Carl Westerberg; [2021]
    Nyckelord :Natural language processing; NLP; sentiment analysis; machine learning; demographics; demographic factors; gender; age; ethics;

    Sammanfattning : Natural language processing (NLP) opens the possibilities for a computer to read, decipher, and interpret human languages to eventually use it in ways that enable yet further understanding of the interaction and communication between the human and the computer. When appropriate data is available, NLP makes it possible to determine not only the sentiment information of a text but also information about the author behind an online post. LÄS MER

  5. 5. Creation of a Next-Generation Standardized Drug Groupingfor QT Prolonging Reactions using Machine Learning Techniques

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

    Författare :Jacob Tiensuu; Elsa Rådahl; [2021]
    Nyckelord :Pharmacovigilance; Adverse Drug Reactions; MedDRA; VigiBase; WHODrug Global; QT prolongation; Torsades de Pointes; Individual Case Safety Reports; Text Recognition; Standardised Drug Grouping; Multinomial Logistic Regression; BERT;

    Sammanfattning : This project aims to support pharmacovigilance, the science and activities relating to drug-safety and prevention of adverse drug reactions (ADRs). We focus on a specific ADR called QT prolongation, a serious reaction affecting the heartbeat. Our main goal is to group medicinal ingredients that might cause QT prolongation. LÄS MER