Essays about: "Sentimentsanalys"
Found 5 essays containing the word Sentimentsanalys.
-
1. A machine learning approach leveraging technical- and sentiment analysis to forecast price movements in major crypto currencies
University essay from KTH/Matematik (Avd.)Abstract : 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. READ MORE
-
2. Predicting like-ratio on YouTube videos using sentiment analysis on comments
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE
-
3. Feature Selection for Sentiment Analysis of Swedish News Article Titles
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE
-
4. Method performance difference of sentiment analysis on social media databases : Sentiment classification in social media
University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)Abstract : 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. READ MORE
-
5. Smirking or Smiling Smileys? : Evaluating the Use of Emoticons to Determine Sentimental Mood
University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)Abstract : Machine Learning classifiers are commonly used for the purpose of Sentiment Analysis. These classifiers use annotated training data from which they learn to predict the sentiment of texts, for example whether a text conveys a positive or a negative sentiment. READ MORE