Sökning: "Bag of Words BoW"
Visar resultat 1 - 5 av 7 uppsatser innehållade orden Bag of Words BoW.
1. Sentiment Analysis Of IMDB Movie Reviews : A comparative study of Lexicon based approach and BERT Neural Network model
Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskapSammanfattning : Background: Movies have become an important marketing and advertising tool that can influence consumer behaviour and trends. Reading film reviews is an im- important part of watching a movie, as it can help viewers gain a general under- standing of the film. And also, provide filmmakers with feedback on how their work is being received. LÄS MER
2. Automatic Change Detection in Visual Scenes
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This thesis proposes a Visual Scene Change Detector(VSCD) system which is a system which involves four parts, image retrieval, image registration, image change detection and panorama creation. Two prestudies are conducted in order to find a proposed image registration method and a image retrieval method. LÄS MER
3. Genre classification using syntactic features
Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologiSammanfattning : This thesis work adresses text classification in relation to genre identification using different feature sets, with a focus on syntactic based features. We built our models by means of traditional machine learning algorithms, i.e. LÄS MER
4. 'Sorry, I didn't understand that' : A comparison of methods for intent classification for social robotics applications
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : An important feature in a social robot is the ability to understand natural language. One of the core components in a typical system for natural language understanding (NLU) is so called intent classification; the action of classifying user utterances based on the underlying intents of the user. LÄS MER
5. How to explain graph-based semi-supervised learning for non-mathematicians?
Kandidat-uppsats, Malmö universitet/Fakulteten för teknik och samhälle (TS)Sammanfattning : Den stora mängden tillgänglig data på internet kan användas för att förbättra förutsägelser genom maskininlärning. Problemet är att sådan data ofta är i ett obehandlat format och kräver att någon manuellt bestämmer etiketter på den insamlade datan innan den kan användas av algoritmen. LÄS MER