Essays about: "text clustering"

Showing result 1 - 5 of 61 essays containing the words text clustering.

  1. 1. Fixation and Machine Learning A new method for measuring fixation in internet users using machine learning and natural language processing

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Katarina Rivera Ahlin; [2023]
    Keywords : ;

    Abstract : Fixation — the state of mind where an individual is intensely fixated on one individual, activity or idea —  can be an early warning sign of an individual that will later go on to commit violent acts. This paper details the development of a method that measures fixation from texts written on internet forums, a method that could (when expanded) be a part of threat assessment and prevention of violence. READ MORE

  3. 2. Domain Knowledge and Representation Learning for Centroid Initialization in Text Clustering with k-Means : An exploratory study

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : David Yu; [2023]
    Keywords : Natural language processing; Sentiment analysis; Clustering; Language model; Transformer; Heuristic; Språkteknologi; Sentimentanalys; Klustering; Språkmodell; Transformer; Heuristik;

    Abstract : Text clustering is a problem where texts are partitioned into homogeneous clusters, such as partitioning them based on their sentiment value. Two techniques to address the problem are representation learning, in particular language representation models, and clustering algorithms. READ MORE

  4. 3. IMPROVING NONDISCRIMINATIVE CLASSIFIERS WITH THE HELP OF CLUSTERING : Enhancing Text Classification: Using Clustering For Improved Classifier Performance

    University essay from Umeå universitet/Institutionen för datavetenskap

    Author : Martin Mickels; [2023]
    Keywords : classification; waste; Avfallsloggen; clustering; nondiscriminative;

    Abstract : A common classification task of today is classifying resources that consist of words. Nondiscriminative classifiers are a popular type of classifiers for such classification. This paper presents a study that determines whether a method of using clusters of words found in training data can be utilized for improved classifier performance. READ MORE

  5. 4. Fake Mass-Produced Advertisements Detection on Global Online Adult Service Websites

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Ernest Pokropek; [2023]
    Keywords : Machine learning; Spam detection; Mass-produced spam; Global adult online services; Maskininlärning; Detektering av Spam; Massproducerad Spam; Globala Webbplatser som Erbjuder Eskorttjänster;

    Abstract : A significant amount of sex trafficking victims are being advertised on online adult services, which are currently being flooded with spam. Investigators rely on online adult services to track cases of sex trafficking; however, the ever-increasing volume of spam poses a mounting challenge, making their task progressively more difficult. READ MORE

  6. 5. Text Curation for Clustering of Free-text Survey Responses

    University essay from Linköpings universitet/Institutionen för datavetenskap

    Author : Anton Gefvert; [2023]
    Keywords : Natural Language Processing; NLP; Sentence Representations; Sentence Representation Models; Survey; Surveys; Clustring;

    Abstract : When issuing surveys, having the option for free-text answer fields is only feasible where the number of respondents is small, as the work to summarize the answers becomes unmanageable with a large number of responses. Using NLP techniques to cluster these answers and summarize them would allow a greater range of survey creators to incorporate free-text answers in their survey, without making their workload too large. READ MORE