Sökning: "Multiclass"
Visar resultat 31 - 35 av 52 uppsatser innehållade ordet Multiclass.
31. Comparing LSTM and GRU for Multiclass Sentiment Analysis of Movie Reviews.
Kandidat-uppsats, Blekinge Tekniska Högskola/Fakulteten för datavetenskaperSammanfattning : Today, we are living in a data-driven world. Due to a surge in data generation, there is a need for efficient and accurate techniques to analyze data. One such kind of data which is needed to be analyzed are text reviews given for movies. LÄS MER
32. Constructiveness-Based Product Review Classification
Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologiSammanfattning : Promoting constructiveness in online comment sections is an essential step to make the internet a more productive place. On online marketplaces, customers often have the opportunity to voice their opinion and relate their experience with a given product. LÄS MER
33. Authorship classification using the Vector Space Model and kernel methods
Master-uppsats, Uppsala universitet/Statistiska institutionenSammanfattning : Authorship identification is the field of classifying a given text by its author based on the assumption that authors exhibit unique writing styles. This thesis investigates the semantic shortcomings of the vector space model by constructing a semantic kernel created from WordNet which is evaluated on the problem of authorship attribution. LÄS MER
34. Automatic Flight Maneuver Identification Using Machine Learning Methods
Master-uppsats, Linköpings universitet/ReglerteknikSammanfattning : This thesis proposes a general approach to solve the offline flight-maneuver identification problem using machine learning methods. The purpose of the study was to provide means for the aircraft professionals at the flight test and verification department of Saab Aeronautics to automate the procedure of analyzing flight test data. LÄS MER
35. Language Classification of Music Using Metadata
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknikSammanfattning : The purpose of this study was to investigate how metadata from Spotify could be used to identify the language of songs in a dataset containing nine languages. Features based on song name, album name, genre, regional popularity and vectors describing songs, playlists and users were analysed individually and in combination with each other in different classifiers. LÄS MER