Sökning: "Sentiment Classification"

Visar resultat 1 - 5 av 71 uppsatser innehållade orden Sentiment Classification.

  1. 1. Exploration of using Twitter data to predict Swedish political opinion polls with neural networks

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Alexander Gren; Klara Lundgren; [2023]
    Nyckelord :Mathematics and Statistics;

    Sammanfattning : This thesis aims to explore the possibility of using deep learning techniques to mine opinions on Twitter, with the objective to predict the political opinion distribution in Sweden. Different methods of gathering and annotating training data are evaluated to achieve accurate and reliable predictions. LÄS MER

  3. 2. Evaluating machine learning models for text classification

    Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknik

    Författare :Jonas Lilja; [2023]
    Nyckelord :Technology and Engineering;

    Sammanfattning : This thesis will explore the use of AWS machine learning services that enable natural language processing (NLP). More specifically, this work will focus on sentiment analysis of product and service reviews written in Swedish. LÄS MER

  4. 3. The Impact of the Retrieval Text Set for Text Sentiment Classification With the Retrieval-Augmented Language Model REALM

    Master-uppsats, KTH/Matematik (Inst.)

    Författare :Oscar Blommegård; [2023]
    Nyckelord :The Impact of the Retrieval Text Set for Text Sentiment Classification With the Retrieval-Augmented Language Model REALM; Hämtningsförstärkta språkmodeller; Natural Language Processing; Transformers; Djupinlärning; Textklassificering;

    Sammanfattning : Large Language Models (LLMs) have demonstrated impressive results across various language technology tasks. By training on large corpora of diverse text collections from the internet, these models learn to process text effectively, allowing them to acquire comprehensive world knowledge. LÄS MER

  5. 4. Sentiment Analysis for Swedish : The Impact of Emojis on Sentiment Analysis of Swedish Informal Texts

    Master-uppsats, Umeå universitet/Institutionen för datavetenskap

    Författare :Lovisa Berggren; [2023]
    Nyckelord :sentiment analysis; NLP; natural language processing; emojis; swedish;

    Sammanfattning : This study investigates the use of emojis in sentiment analysis for the Swedish language, with the objective to assess if emojis improve the performance of the model. Sentiment analysis is an NLP classification task aimed at extracting people's opinions, sentiments, and attitudes from language. LÄS MER

  7. 5. AI-POWERED TEXT ANALYSIS TOOL FOR SENTIMENT ANALYSIS

    Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

    Författare :Dani Kebede; Naod Tesfai; [2023]
    Nyckelord :Sentiment analysis; Artificial intelligence; NLP; RoBERTa;

    Sammanfattning : In today’s digital era, text data plays a ubiquitous role across various domains. This bachelor thesis focuses on the field of sentiment analysis, specifically addressing the task of classifying text into positive, negative, or neutral sentiments with the help of an AI tool. LÄS MER