Sökning: "Magnus Sahlgren"
Hittade 4 avhandlingar innehållade orden Magnus Sahlgren.
1. Graph Algorithms for Large-Scale and Dynamic Natural Language Processing
Sammanfattning : In Natural Language Processing, researchers design and develop algorithms to enable machines to understand and analyze human language. These algorithms benefit multiple downstream applications including sentiment analysis, automatic translation, automatic question answering, and text summarization. LÄS MER
2. The Word-Space Model: using distributional analysis to represent syntagmatic and paradigmatic relations between words in high-dimensional vector spaces
Sammanfattning : .... LÄS MER
3. The Word-Space Model : Using distributional analysis to represent syntagmatic and paradigmatic relations between words in high-dimensional vector spaces
Sammanfattning : The word-space model is a computational model of word meaning that utilizes the distributional patterns of words collected over large text data to represent semantic similarity between words in terms of spatial proximity. The model has been used for over a decade, and has demonstrated its mettle in numerous experiments and applications. LÄS MER
4. Sentiment and Stance Visualization of Textual Data for Social Media
Sammanfattning : Rapid progress in digital technologies has transformed the world in many ways during the past few decades, in particular, with the new means of communication such as social media. Social media platforms typically rely on textual data produced or shared by the users in multiple timestamped posts. LÄS MER