Sökning: "Bag-of-Words"

Visar resultat 11 - 15 av 53 uppsatser innehållade ordet Bag-of-Words.

  1. 11. Searching and Recommending Texts Related to Climate Change

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Karolin Gjöthlén; [2021]
    Nyckelord :;

    Sammanfattning : This project considers the design of a machine learning system to search efficiently a database of texts related to climate change. The efficient search and navigation of such a database make it easier to find actionable information, detect trends, or derives other useful information. LÄS MER

  3. 12. Emotional Content in Novels for Literary Genre Prediction : And Impact of Feature Selection on Text Classification Models

    Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

    Författare :Mary Yako; [2021]
    Nyckelord :;

    Sammanfattning : Automatic literary genre classification presents a challenging task for Natural Language Processing (NLP) systems, mainly because literary texts have deeper levels of meanings, hold distinctive themes, and communicate certain messages and emotions. We conduct a study where we experiment with building literary genre classifiers based on emotions in novels, to investigate the effects that features pertinent to emotions have on models of genre prediction. LÄS MER

  4. 13. How can a module for sentiment analysis be designed to classify tweets about covid19

    Kandidat-uppsats,

    Författare :Denny Ly; Tamara Saad Abdul Malik; [2021]
    Nyckelord :Sentiment Analysis; Machine Learning; Lexicon technique; Kaggle; Preprocessing;

    Sammanfattning : The sentiment analysis of a text is getting more focus nowadays from different entities for a variety of reasons. Emotions mining (sentiment analysis) is a very interesting subject to explore thus the research question is How can a module for sentiment analysis be designed to classify tweets about Covid-19. LÄS MER

  5. 14. Stock Market Forecasting Using SVM With Price and News Analysis

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

    Författare :Patrik Hansen; Sandi Vojcic; [2020]
    Nyckelord :Support vector machine; stock market; financialindicators; news; bag-of-words;

    Sammanfattning : Many machine learning approaches have been usedfor financial forecasting to estimate stock trends in the future. Thefocus of this project is to implement a Support Vector Machinewith price and news analysis for companies within the technologysector as inputs to predict if the price of the stock is going torise or fall in the coming days and to observe the impact on theprediction accuracy by adding news to the technical analysis. LÄS MER

  7. 15. Multi-modal Neural Representations for Semantic Code Search

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

    Författare :Jian Gu; [2020]
    Nyckelord :multi-modal learning; pseudo-siamese architecture; neural bagof- words model; tree representation; Simplified Semantic Tree; semantic code search; multimodal inlärning; pseudo-siamesisk arkitektur; neural väskamed- ord-modell; trädrepresentation; förenklat semantiskt träd; semantisk kodsökning;

    Sammanfattning : In recent decades, various software systems have gradually become the basis of our society. Programmers search existing code snippets from time to time in their daily life. LÄS MER