Sökning: "Boosting"

Visar resultat 6 - 10 av 306 uppsatser innehållade ordet Boosting.

  1. 6. Sentiment-Driven Cryptocurrency Price Prediction : A Comparative Analysis of AI Models

    Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Jammithri Kotapati; Suma Vendrapu; [2023]
    Nyckelord :Artificial Intelligence; Cryptocurrency Prices; News Articles; Sentiment Analysis; Social Media Posts. ii;

    Sammanfattning : 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

  3. 7. Understanding Sales Performance Using Natural Language Processing - An experimental study evaluating rule-based algorithms in a B2B setting

    Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Angelica Smedberg; [2023]
    Nyckelord :NLP; Sentiment Analysis; Ruled-based algorithms; TextBlob; VADER; Naïve Bayes; Machine Learning;

    Sammanfattning : Natural Language Processing (NLP) is a branch in data science that marries artificial intelligence with linguistics. Essentially, it tries to program computers to understand human language, both spoken and written. Over the past decade, researchers have applied novel algorithms to gain a better understanding of human sentiment. LÄS MER

  4. 8. Prediction Models for TV Case Resolution Times with Machine Learning

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Borja Javierre I Moyano; [2023]
    Nyckelord :Datasets; Machine Learning ML ; Prediction; Resolution Time RT ; Solve Time; TV Cases; Trouble Tickets TT ; Customer-Related Trouble Tickets Resolution Time; CRM system; BI system; Telecommunications; Dataset; Machine Learning ML ; Prediction; Resolution Time; Solve Time; TV Cases; Trouble Tickets TT ; Kundrelaterade problem Tickets Resolution tid; CRM-system; BI-system; Telekommunikationer.;

    Sammanfattning : TV distribution and stream content delivery of video over the Internet, since is made up of complex networks including Content Delivery Networks (CDNs), cables and end-point user devices, that is very prone to issues appearing in different levels of the network ending up affecting the final customer’s TV services. When a problem affects the customer, and this prevents from having a proper TV delivery service in devices used for stream purposes, the issue is reported through a call, a TV case is opened and the company’s customer handling agents start supervising it to solve the problem as soon as possible. LÄS MER

  5. 9. A Predictive Analysis of Customer Churn

    Kandidat-uppsats, KTH/Matematisk statistik

    Författare :Olivia Eskils; Anna Backman; [2023]
    Nyckelord :Churn prediction; CRM; optimization; applied mathematics; machine learning; gradient boosting; random forest; logistic regression; insurance industry; Kundbortfall; CRM; optimering; tillämpad matematik; maskininlärning; gradient boosting; random forest; logistisk regression; försäkringsbranschen;

    Sammanfattning : Churn refers to the discontinuation of a contract; consequently, customer churn occurs when existing customers stop being customers. Predicting customer churn is a challenging task in customer retention, but with the advancements made in the field of artificial intelligence and machine learning, the feasibility to predict customer churn has increased. LÄS MER

  7. 10. Financial Prosperity and sport achievement in the European Football

    Magister-uppsats, Högskolan Dalarna/Institutionen för kultur och samhälle

    Författare :Joakim Eriksson; [2023]
    Nyckelord :European football clubs; Financial performance; Sporting performance; Panel regression analysis; Wage costs; Increasing revenues; Debt-equity ratio; Return on assets;

    Sammanfattning : This study examines the relationship between financial conditions and on-field success among 36 prominent European football clubs from 2010 to 2017. The research employs panel regression analysis to explore how clubs’ financial indicators such as wage costs, increasing revenues, debt-equity ratios, and return on assets correlate with their sporting performance. LÄS MER