Sökning: "automatic topic extraction"

Visar resultat 1 - 5 av 15 uppsatser innehållade orden automatic topic extraction.

1. 1. Automatic Shelf detection and Decluttering in Warehouseenvironments

   Uppsats för yrkesexamina på avancerad nivå, Örebro universitet/Institutionen för naturvetenskap och teknik

   Författare :Johan Larsson; [2022]
   Nyckelord :;

   Sammanfattning : The work in this report focuses on solving two problems that autonomous mobilerobots in a warehouse environment are facing; the removal of dynamic, includingsemi-static, objects (clutter) from the long-term map and how to locate shelves withinthe environment. Both done using a three-dimensional point cloud. LÄS MER

3. 2. An automatic storytelling system based on natural language processing

   Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

   Författare :Yuhua Chen; [2021]
   Nyckelord :;

   Sammanfattning : With the rapid development of science and technology, high technology tools have been widely used in educational field. Recent studies reported thatintelligent social robots are being widely used in early childhood education. Artificialintelligence technology is playing a crucial role in the application of robots. LÄS MER

4. 3. Experiments in speaker diarization using speaker vectors

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

   Författare :Ming Cui; [2021]
   Nyckelord :Speaker Diarization; Embedding Extraction Module; Deep Learning; Supervised method; Unsupervised method; Talardiarisering; inbäddning av extraktionsmodul; djupinlärning; övervakad metod; oövervakad metod;

   Sammanfattning : Speaker Diarization is the task of determining ‘who spoke when?’ in an audio or video recording that contains an unknown amount of speech and also an unknown number of speakers. It has emerged as an increasingly important and dedicated domain of speech research. LÄS MER

5. 4. Emotion Detection from Electroencephalography Data with Machine Learning : Classification of emotions elicited by auditory stimuli from music on self-collected data sets

   Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

   Författare :Filip Söderqvist; [2021]
   Nyckelord :Electroencephalography; Deep learning; Machine learning; Likeability; Valence; Arousal; Emotion detection; Elektroencefalografi; Djupinlärning; Maskininlärning; Omtyckthet; Valens; Aktiveringsgrad; Känslodetektion;

   Sammanfattning : The recent advances in deep learning have made it state-of-the-art for many different tasks, making its potential usefulness for analyzing electroencephalography (EEG) data appealing. This study aims at automatic feature extraction and classification of likeability, valence, and arousal elicited by auditory stimuli from music by training deep neural networks (DNNs) on  minimally pre-processed multivariate EEG time series. LÄS MER

7. 5. Using WordNet Synonyms and Hypernyms in Automatic Topic Detection

   Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

   Författare :Nicko Wargärde; [2020]
   Nyckelord :topic detection; TF-IDF; SynPlusTF-IDF; keyword extraction; WordNet; synsets; synonyms; hypernyms;

   Sammanfattning : Detecting topics by extracting keywords from written text using TF-IDF has been studied and successfully used in many applications. Adding a semantic layer to TF-IDF-based topic detection using WordNet synonyms and hypernyms has been explored in document clustering by assigning concepts that describe texts or by adding all synonyms and hypernyms that occurring words have to a list of keywords. LÄS MER