Essays about: "sentimentklassificering"
Found 5 essays containing the word sentimentklassificering.
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1. Design an emotionally positive experience via sentiment classification for social media recommendation systems : A case study in TikTok
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Recommendation system benefits social media by attracting users with the posts they prefer. The recommended posts, however, may not align with what users really need to browse, especially in terms of emotion. READ MORE
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2. Explainability Methods for Transformer-based Artificial Neural Networks: : a Comparative Analysis
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The increasing complexity of Artificial Intelligence (AI) models is accompanied by an increase in difficulty in interpreting model predictions. This thesis work provides insights and understanding of the differences and similarities between explainability methods for AI models. READ MORE
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3. Exploration of Knowledge Distillation Methods on Transformer Language Models for Sentiment Analysis
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Despite the outstanding performances of the large Transformer-based language models, it proposes a challenge to compress the models and put them into the industrial environment. This degree project explores model compression methods called knowledge distillation in the sentiment classification task on Transformer models. READ MORE
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4. Style Transfer Paraphrasing for Consistency Training in Sentiment Classification
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Text data is easy to retrieve but often expensive to classify, which is why labeled textual data is a resource often lacking in quantity. However, the use of labeled data is crucial in supervised tasks such as text classification, but semi-supervised learning algorithms have shown that the use of unlabeled data during training has the potential to improve model performance, even in comparison to a fully supervised setting. READ MORE
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5. Machine Learning Based Sentiment Classification of Text, with Application to Equity Research Reports
University essay from KTH/Matematisk statistikAbstract : In this thesis, we analyse the sentiment in equity research reports written by analysts at Skandinaviska Enskilda Banken (SEB). We provide a description of established statistical and machine learning methods for classifying the sentiment in text documents as positive or negative. READ MORE
