Sökning: "Text Classification"

Visar resultat 1 - 5 av 223 uppsatser innehållade orden Text Classification.

  1. 1. Interactionwise Semantic Awareness in Visual Relationship Detection

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Pagliarini Giovanni; Imtiaz Azfar; [2020-11-06]
    Nyckelord :Deep Learning; Natural Language Processing; Computer Vision; Visual Relationship Detection; Object Detection;

    Sammanfattning : Visual Relationship Detection (VRD) is a relatively young research area, where thegoal is to develop prediction models for detecting the relationships between objectsdepicted in an image. A relationship is modeled as a subject-predicate-object triplet,where the predicate (e.g an action, a spatial relation, etc. LÄS MER

  2. 2. 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

  3. 3. Text analysis for email multi label classification

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Kyriaki Paniskaki; Sanjit Harsha Kadam; [2020-07-08]
    Nyckelord :natural language processing; machine learning; multi label text classification; deep neural networks; bilingual texts; emails; short texts;

    Sammanfattning : This master’s thesis studies a multi label text classification task on a small dataset of bilingual, English and Swedish, short texts (emails). Specifically, the size ofthe data set is 5800 emails and those emails are distributed among 107 classes withthe special case that the majority of the emails includes the two languages at thesame time. LÄS MER

  4. 4. The challenge of data-driven requirements elicitation techniques : Systematic Literature Review & Controlled Experiment

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för programvaruteknik; Blekinge Tekniska Högskola/Institutionen för programvaruteknik

    Författare :Tianpeng Zhang; Linxiang Ruan; [2020]
    Nyckelord :Requirements Elicitation; Data-Driven Requirements; Social Network Analysis; Text Classification;

    Sammanfattning : Background. Nowadays, Requirements Engineering(RE) focuses not only the pri- mary stakeholders but also large scale data, which comes from an amount of cus- tomers’ operations and feedback. For instance, the user reviews in the mobile app platform become an important analysis target, since they contain a lot of informa- tion. LÄS MER

  5. 5. Automatic language identification of short texts

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

    Författare :Anna Avenberg; [2020]
    Nyckelord :Automatic language identification; Natural language processing; Machine learning; Artificial intelligence; Short texts;

    Sammanfattning : The world is growing more connected through the use of online communication, exposing software and humans to all the world's languages. While devices are able to understand and share the raw data between themselves and with humans, the information itself is not expressed in a monolithic format. LÄS MER