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Showing result 1 - 5 of 12 essays matching the above criteria.

  1. 1. Semantic Similarity Comparison of Political Statements by ChatGPT and Political Representatives

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

    Author : Sebastian Lihammer; [2023]
    Keywords : ChatGPT; Deep learning; Artificial intelligence; Politics; Semantic similarity; ChatGPT; Djupinlärning; Artificiell intelligens; Politik; Semantisk likhet;

    Abstract : ChatGPT is a recently released chatbot that through the use of deep learning can generate human-like statements on a variety of topics. Deep learning models have a potential to affect politics. They can for instance be used as a source for political information or be used to create and spread political messages. READ MORE

  2. 2. Exploring toxic lexicon similarity methods with the DRG framework on the toxic style transfer task

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

    Author : Martin Iglesias; [2023]
    Keywords : Detoxifcation; Text style transfer; Deep learning; Transformers; Linguistics; Natural Language Processing; Hate speech; Text style-conditional generation; Large language model; Avgiftning; Överföring av textstil; Djupinlärning; Transformatorer; Lingvistik; Naturlig språkbehandling; Hatprat; Textstil - villkorlig generering; Stor språkmodell;

    Abstract : The topic of this thesis is the detoxification of language in social networks with a particular focus on style transfer techniques that combine deep learning and linguistic resources. In today’s digital landscape, social networks are rife with communication that can often be toxic, either intentionally or unintentionally. READ MORE

  3. 3. A comparison of different methods in their ability to compare semantic similarity between articles and press releases

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

    Author : Julius Andersson; [2022]
    Keywords : Semantic similarity; TF-IDF; SBERT; Cosine similarity; Soft-cosine similarity; Sentence mover’s distance; Semantisk likhet; TF-IDF; SBERT; Cosinus likhet; Mjuk-cosinus likhet; Sentence mover’s distance;

    Abstract : The goal of a press release is to have the information spread as widely as possible. A suitable approach to distribute the information is to target journalists who are likely to distribute the information further. READ MORE

  4. 4. Evaluation of Sentence Representations in Semantic Text Similarity Tasks

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

    Author : Nils Balzar Ekenbäck; [2021]
    Keywords : sentence representations; semantic text similarity; sentence simi-larity; word embeddings; sentence embeddings; meningsrepresentation; semantisk textlikhet; meningslikhet; or-dinbäddningar; meningsinbäddningar;

    Abstract : This thesis explores the methods of representing sentence representations for semantic text similarity using word embeddings and benchmarks them against sentence based evaluation test sets. Two methods were used to evaluate the representations: STS Benchmark and STS Benchmark converted to a binary similarity task. READ MORE

  5. 5. Evaluating semantic similarity using sentence embeddings

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

    Author : Jacob Malmberg; [2021]
    Keywords : ;

    Abstract : Semantic similarity search is the task of searching for documents or sentences which contain semantically similar content to a user-submitted search term. This task is often carried out, for instance when searching for information on the internet. READ MORE