Essays about: "sentence clustering"

Showing result 1 - 5 of 16 essays containing the words sentence clustering.

1. 1. 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

3. 2. Self-Supervised Fine-Tuning of sentence embedding models using a Smooth Inverse Frequency model : Automatic creation of labels with Smooth Inverse Frequency model

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

   Author : Vittorio Pellegrini; [2023]
   Keywords : Natural Language Processing; sentence embeddings; Transformer-based architectures; sentence paraphrasing; sentence similarity; sentence clustering; Naturlig språkbehandling; inbäddning av meningar; transformatorbaserade arkitekturer; parafrasering av meningar; meningslikhet; klustring av meningar Canvas Lärplattform; Dockerbehållare; Prestandajustering;

   Abstract : Sentence embedding models play a key role in the field of Natural Language Processing. They can be exploited for the resolution of several tasks like sentence paraphrasing, sentence similarity, and sentence clustering. READ MORE

4. 3. 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

5. 4. 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

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

   Author : Filippo Caliò; [2023]
   Keywords : 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;

   Abstract : 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. READ MORE

6. 5. Machine learning for detecting fraud in an API

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

   Author : Anna Sánchez Espunyes; [2022]
   Keywords : Fraud detection; Machine learning; Supervised learning; Sentence-BERT; Web API; Bedrägeriupptäckt; Maskininlärning; Övervakad inlärning; Sentence-BERT; Web API;

   Abstract : An Application Programming Interface (API) provides developers with a high-level framework that abstracts the underlying implementation of services. Using an API reduces the time developers spent on implementation, and it encourages collaboration and innovation from third-party developers. READ MORE