Title: | Multilingual Sentiment Analysis |
Authors: | Přibáň, Pavel |
Issue Date: | 2020 |
Publisher: | University of West Bohemia in Pilsen |
Document type: | zpráva report |
URI: | http://hdl.handle.net/11025/42665 |
Keywords: | zpracování přirozeného jazyka;analýza sentimentu;strojové učení;reprezentace textu |
Keywords in different language: | natural language processing;sentiment analysis;machine learning;text meaning representation |
Abstract in different language: | Natural language processing (NLP) became an essential part of the artificial in-telligence field that is used daily in industry and by millions of people. Sentimentanalysis as a part of NLP is no exception. Most of research in sentiment analysis hasbeen done primarily for English, creating a significant gap in performance betweenEnglish and other languages.In this thesis, we describe the fundamental theory behind sentiment analysis. Wesummarize tasks of sentiment analysis and tasks that are related to sentiment anal-ysis. Along with a description of common basic and initial approaches, we also coverrecent state-of-the-art techniques for sentiment analysis.We provide a detailed description of common machine learning techniques used forsentiment analysis and also very recent state-of-the-art machine learning methodsand architectures of neural networks and deep learning. Further, we describe cross-lingual approaches that allow a knowledge transfer between languages.In the end, we recap our preliminary work and future direction and the aims of thefinal doctoral thesis. |
Rights: | © University of West Bohemia in Pilsen |
Appears in Collections: | Zprávy / Reports (KIV) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Rigo_Přibáň_2020_07.pdf | Plný text | 2,14 MB | Adobe PDF | View/Open |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/42665
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.