Sökning: "sentimentsanalys"

Visar resultat 1 - 5 av 6 uppsatser innehållade ordet sentimentsanalys.

1. 1. Nyhetsaggregator med sentimentanalys

   Kandidat-uppsats,

   Författare :Claude Carlsson; Edvin Germer; [2022]
   Nyckelord :maskininlärning; nyhetsaggregator; sentimentsanalys; webbutveckling; databas; webbskrapare; psykisk ohälsa; BERT; neurala nätverk; NLP;

   Sammanfattning : Eftersom mental ohälsa stiger i samhället och forskningen inte har ett tydligt svar så har vi i detta projekt formulerat en egen hypotes om varför vi ser den här trenden. Eftersom nyhetstjänster tjänar på att publicera negativa artiklar så leder det till att fler konsumerar negativa nyheter. LÄS MER

3. 2. A machine learning approach leveraging technical- and sentiment analysis to forecast price movements in major crypto currencies

   Master-uppsats, KTH/Matematik (Avd.)

   Författare :Ludvig Harting; Nils Åkesson; [2022]
   Nyckelord :Artifical Neural Network; Crypto; Sentiment Analysis; Twitter; Technical Analysis; Bitcoin; Ether; Litecoin; Artificiellt Neuronnät; Kryptovalutor; Sentimentsanalys; Twitter; Teknisk Analys; Bitcoin; Ether; Litecoin;

   Sammanfattning : This paper uses a back-propagating neural network (BPN) to predict the price movements of major crypto currencies, leveraging technical factors as well as measurements of collective sentiment derived from the micro-blogging network Twitter. Our dataset consists of daily, hourly and minutely price levels for Bitcoin, Ether and Litecoin along with 8 popular technical indicators, as well as all tweets with the currencies' cash tags during respective time periods. LÄS MER

4. 3. Predicting like-ratio on YouTube videos using sentiment analysis on comments

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

   Författare :Martin Hyberg; Teodor Isaacs; [2018]
   Nyckelord :;

   Sammanfattning : Social media is huge today. It allows anyone with an internet connection to voice their opinion all over the world with a single click. Many of the biggest social media platforms such as Facebook and Twitter do not allow users to leave negative feedback on posts. LÄS MER

5. 4. Feature Selection for Sentiment Analysis of Swedish News Article Titles

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

   Författare :Jonas Dahl; [2018]
   Nyckelord :sentiment analysis; machine learning; sentiments; ml; ai; neural networks; ann; artificial neural networks; convolutional neural network; cnn; language technology; natural language; news; titles; Swedish; sentimentanalys; maskininlärning; sentiment; ml; ai; neuronnät; ann; artificiella neuronnät; cnn; nyheter; nyhetsrubriker; språkteknologi;

   Sammanfattning : The aim of this study was to elaborate the possibilities of sentiment analyzing Swedish news article titles using machine learning approaches and find how the text is best represented in such conditions. Sentiment analysis has traditionally been conducted by part-of-speech tagging and counting word polarities, which performs well for large domains and in absence of large sets of training data. LÄS MER

7. 5. Method performance difference of sentiment analysis on social media databases : Sentiment classification in social media

   Kandidat-uppsats, KTH/Skolan för datavetenskap och kommunikation (CSC)

   Författare :Henrik Johansson; Anton Lilja; [2016]
   Nyckelord :;

   Sammanfattning : As the amount of available data have exploded with the in- crease in use of social media the interest of doing sentiment anlysis have increased. However as the source and nature of the data have changed it is possible that the known meth- ods will not perform as before. LÄS MER