Sökning: "Sentimentanalys"

Visar resultat 21 - 25 av 50 uppsatser innehållade ordet Sentimentanalys.

1. 21. Digital Maturity in the Public Sector and Citizens’ Sentiment Towards Authorities : A study within the initiative Academy of Lifelong Learning, in partnership with RISE and Google

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

   Författare :Isabella Cramner; [2021]
   Nyckelord :Digital transformation; digital maturity assessment; big data; sentiment analysis; topic modeling; public authorities; Digital transformation; digitalt mognadstest; big data; sentimentanalys; topic modeling; myndigheter;

   Sammanfattning : This study was conducted in partnership with RISE and Google, within the initiative “Academy of Lifelong Learning”, aiming to propel the digital transformation in the Swedish public sector. The study investigated the digital maturity of 18 authorities in terms of maturity level (early, developing maturing), and within the driving areas (1) Citizen Centricity, (2) Leadership, (3) Digital Toolbox and (4) Security and Sustainability. LÄS MER

3. 22. Index prediction on the Swedish stock market using natural language processing methods on Swedish news

   Master-uppsats, Lunds universitet/Matematisk statistik

   Författare :Erik Ris; Axel Sjöberg; [2021]
   Nyckelord :Stock market prediction; Index prediction; Sentiment analysis; Topic modelling; LDA; Swedish newspaper data; NLP; Machine Learning; RNN; Mathematics and Statistics;

   Sammanfattning : This master thesis explores if topic modelling and sentiment analysis on Swedish financial newspaper data can be used to predict the direction of the Swedish stock market. A pipeline was set up where full length articles as well as article summaries were fed into a topic model and a sentiment analysis model. LÄS MER

4. 23. 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. 24. Swedish finance Twitter accounts short term impact on Swedish small cap companies

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

   Författare :John Janér; Noah Rahimzadagan; [2021]
   Nyckelord :Human behavior; Financial markets; Sentiment analysis; Twitter; Mänskligt beteende; Finansiella marknader; Sentimentanalys; Twitter;

   Sammanfattning : Over the last five years, the amount of retail investors has increased immensely. Trying to make informed decisions, many of the more active investors look to social media as a source of information. LÄS MER

7. 25. Readability: Man and Machine : Using readability metrics to predict results from unsupervised sentiment analysis

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

   Författare :Martin Larsson; Samuel Ljungberg; [2021]
   Nyckelord :Natural language processing; Unsupervised learning; Sentiment analysis; Word embeddings; Readability; Språkteknologi; Oövervakad inlärning; Sentimentanalys; Ordinbäddningar; Läsbarhet;

   Sammanfattning : Readability metrics assess the ease with which human beings read and understand written texts. With the advent of machine learning techniques that allow computers to also analyse text, this provides an interesting opportunity to investigate whether readability metrics can be used to inform on the ease with which machines understand texts. LÄS MER