National Repository of Grey Literature 4 records found  Search took 0.00 seconds. 
Stemming of Czech Words
Hellebrand, David ; Bartík, Vladimír (referee) ; Chmelař, Petr (advisor)
The goal of this master's thesis is to develop stemming algorithm for czech language based on grammatical rules. You can find a description of stemming process and a comparsion of stemming algorithms in this project. The basics of czech grammar and Snowball language are also described here. The main part of this thesis concerns the implementation of the new czech stemming algorithm.
Semantic relation extraction from unstructured data in the business domain
Rampula, Ilana ; Pecina, Pavel (advisor) ; Kuboň, Vladislav (referee)
Text analytics in the business domain is a growing field in research and practical applications. We chose to concentrate on Relation Extraction from unstructured data which was provided by a corporate partner. Analyzing text from this domain requires a different approach, counting with irregularities and domain specific attributes. In this thesis, we present two methods for relation extraction. The Snowball system and the Distant Supervision method were both adapted for the unique data. The methods were implemented to use both structured and unstructured data from the database of the company. Keywords: Information Retrieval, Relation Extraction, Text Analytics, Distant Supervision, Snowball
Semantic relation extraction from unstructured data in the business domain
Rampula, Ilana ; Pecina, Pavel (advisor) ; Kuboň, Vladislav (referee)
Text analytics in the business domain is a growing field in research and practical applications. We chose to concentrate on Relation Extraction from unstructured data which was provided by a corporate partner. Analyzing text from this domain requires a different approach, counting with irregularities and domain specific attributes. In this thesis, we present two methods for relation extraction. The Snowball system and the Distant Supervision method were both adapted for the unique data. The methods were implemented to use both structured and unstructured data from the database of the company. Keywords: Information Retrieval, Relation Extraction, Text Analytics, Distant Supervision, Snowball
Stemming of Czech Words
Hellebrand, David ; Bartík, Vladimír (referee) ; Chmelař, Petr (advisor)
The goal of this master's thesis is to develop stemming algorithm for czech language based on grammatical rules. You can find a description of stemming process and a comparsion of stemming algorithms in this project. The basics of czech grammar and Snowball language are also described here. The main part of this thesis concerns the implementation of the new czech stemming algorithm.

Interested in being notified about new results for this query?
Subscribe to the RSS feed.