Sökning: "Nyckelord Klustring"

Hittade 4 uppsatser innehållade orden Nyckelord Klustring.

  1. 1. Advancing Keyword Clustering Techniques: A Comparative Exploration of Supervised and Unsupervised Methods : Investigating the Effectiveness and Performance of Supervised and Unsupervised Methods with Sentence Embeddings

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

    Författare :Filippo Caliò; [2023]
    Nyckelord :Keyword Clustering; Supervised Learning; Unsupervised Learning; Cluster Labels; Natural Language Processing; Sentence Embeddings; Nyckelord Klustring; övervakad inlärning; oövervakad inlärning; klustermärkning; naturlig språkbehandling; Inbäddning av meningar;

    Sammanfattning : Clustering keywords is an important Natural Language Processing task that can be adopted by several businesses since it helps to organize and group related keywords together. By clustering keywords, businesses can better understand the topics their customers are interested in. LÄS MER

  3. 2. Analysis of Remarks Using Clustering and Keyword Extraction : Clustering Remarks on Electrical Installations and Identifying the Clusters by Extracting Keywords

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

    Författare :Philip Stiff; [2018]
    Nyckelord :Clustering; Keyword Extraction; Free-text; Human Evaluation; Klustring; Extrahering av nyckelord; Fritext; Mänsklig utvärdering;

    Sammanfattning : Nowadays it is common for companies to sit on and gather a lot of data related to their business. The size of this data is often too large to be analyzed by hand and it is therefore becoming more and more common to automate this analysis e.g. by running machine learning methods on this data. LÄS MER

  4. 3. Detecting trolls on twitterthrough cluster analysis

    Kandidat-uppsats, KTH/Skolan för datavetenskap och kommunikation (CSC)

    Författare :Morgan Brolin; Erik Ledin; [2017]
    Nyckelord :;

    Sammanfattning : The social media platform Twitter is designed to allow users to efficiently spread informationthrough short messages that are broadcast to the world. The efficient way to spreadinformation that is in no way controlled or edited brings inherent problems with the spreadingof misinformation and other malicious activity as it can often be very difficult to establishwhat information can be considered reliable. LÄS MER

  5. 4. A Comparison of Clustering the Swedish Political Twittersphere Based on Social Interactions and on Tweet Content

    Kandidat-uppsats, KTH/Skolan för datavetenskap och kommunikation (CSC)

    Författare :Thomas Vakili; [2016]
    Nyckelord :;

    Sammanfattning : This thesis evaluates and compares two different clustering strategies for clustering users in Sweden’s political Twittersphere: clustering based on tweet content and clustering based on social interactions data. Users were detected by filtering a stream of tweets filtered on a list of politically charged keywords. LÄS MER