Sökning: "news features"
Visar resultat 6 - 10 av 94 uppsatser innehållade orden news features.
6. Sentiment-Driven Cryptocurrency Price Prediction : A Comparative Analysis of AI Models
Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskapSammanfattning : Background: In the last few years, there has been rapid growth in the use of cryptocurrency, as it is a form of digital currency and was developed using blockchain technology, so it is almost impossible to counterfeit cryptocurrency. Due to these features, it has attracted a lot of popularity and attention in the market. LÄS MER
7. How AI Drives Innovation Capabilities within an Enterprise : A study of the Chinese innovative companies
Magister-uppsats, Jönköping University/Internationella HandelshögskolanSammanfattning : Background: AI innovation, an emerging concept, refers to innovation capabilities that incorporate AI technologies. In recent years, generative AI has garnered significant attention, emphasizing the need for a deeper understanding of its role in innovation. LÄS MER
8. Ensuring Brand Safety by Using Contextual Text Features: A Study of Text Classification with BERT
Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologiSammanfattning : When advertisements are placed on web pages, the context in which the advertisements are presented is important. For example, manufacturers of kitchen knives may not want their advertisement to appear in a news article about a knife-wielding murderer. LÄS MER
9. Large-scale Exploratory Text Visualisation
Magister-uppsats, Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakultetenSammanfattning : The amount of available text data has increased rapidly in the latest years, making it difficult for an everyday user to find relevant information. To solve this, NLP and visualisation methods have been developed for extracting valuable information from text and presenting it to the user. LÄS MER
10. A Preliminary Observation: Can One Linguistic Feature Be the Deterministic Factor for More Accurate Fake News Detection?
Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologiSammanfattning : This study inspected three linguistic features, specifically the percentage of nouns per sentence, the percentage of verbs per sentence, as well as the mean of dependency distance of the sentence, and observed their respective influence on the fake news classification accuracy. In comparison to the previous studies where linguistic features are combined as a set to be leveraged, this study attempted to untangle the effective individual features from the previously proposed optimal sets. LÄS MER