Sökning: "Sentimentanalys"

Visar resultat 11 - 15 av 50 uppsatser innehållade ordet Sentimentanalys.

  1. 11. Sentimentanalys för investeringsbeslut : Pressmeddelanden och aktieutveckling - Ett försök att slå börsen med hjälp av textklassificering

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

    Författare :Jesper Senke; Fredrik Strandberg; [2022]
    Nyckelord :;

    Sammanfattning : To invest your money in the stock market and successfully choose the stocks which will generate the biggest returns is desired by most. The amount of public stock market information is close to limitless and crucial to making solid investment decisions. One way for companies to supply the market with important information is through press releases. LÄS MER

  3. 12. Text Classification of Human Resources-related Data with Machine Learning

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

    Författare :Christine Rosquist; [2021]
    Nyckelord :;

    Sammanfattning : Text classification has been an important application and research subject since the origin of digital documents. Today, as more and more data are stored in the form of electronic documents, the text classification approach is even more vital. LÄS MER

  4. 13. Natural Language Processing techniques for feedback on text improvement : A qualitative study on press releases

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

    Författare :Amanda Björner; [2021]
    Nyckelord :Natural Language Processing; press release; readability; text bias; sentiment analysis; Språkteknologi; pressmeddelande; läsbarhet; språklig bias; ämnesanalys;

    Sammanfattning : Press releases play a key role in today’s news production by being public statements of newsworthy content that function as a pre-formulation of news. Press releases originate from a wide range of actors, and a common goal is for them to reach a high societal impact. LÄS MER

  5. 14. Evaluation of Approaches for Representation and Sentiment of Customer Reviews

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

    Författare :Stavros Giorgis; [2021]
    Nyckelord :machine learning; nlp; text analytics; sentiment analysis; transformers; tfidf; bow; fasttext; word2vec; bert; xlnet; roberta; maskininlärning; nlp; textanalys; sentimentanalys; transformatorer; tfidf; bow; fasttext; word2vec; bert; xlnet; roberta;

    Sammanfattning : Classification of sentiment on customer reviews is a real-world application for many companies that offer text analytics and opinion extraction on customer reviews on different domains such as consumer electronics, hotels, restaurants, and car rental agencies. Natural Language Processing’s latest progress has seen the development of many new state-of-the-art approaches for representing the meaning of sentences, phrases, and words in the text using vector space models, so-called embeddings. LÄS MER

  7. 15. Evaluating the use of Machine Learning for Fault Detection using Log File Analysis

    Kandidat-uppsats, Mittuniversitetet/Institutionen för informationssystem och –teknologi

    Författare :Rosen Nikolaev Tenov; [2021]
    Nyckelord :Machine learning; fault detection; log file; artificial neural network; Maskininlärning; feldetektering; loggfil; artificiellt neuralt nätverk;

    Sammanfattning : Under de senaste åren fick maskininlärning mer och mer popularitet i samhället. Den implementeras i stor utsträckning inom många datavetenskapliga områden, t.ex. igenkänning av tal, video, objekt, sentimentanalys osv. LÄS MER