DocumentCode
1878187
Title
To stop or not to stop — Experiments on stopword elimination for information retrieval of Gujarati text documents
Author
Joshi, Harshita ; Pareek, Jyoti ; Patel, Rahul ; Chauhan, K.
fYear
2012
fDate
6-8 Dec. 2012
Firstpage
1
Lastpage
4
Abstract
Words that frequently occur in a document but carry less significant meaning are called stopwords. Identification and removal of stopwords can result in effective indexing of documents. Mean average precision (MAP) is the metric used to measure the efficiency of information retrieval (IR) tasks. In this paper, we have experimented with elimination of Gujarati stopwords to measure the improvements in Adhoc monolingual information retrieval of Gujarati text documents. Results show that elimination of stopwords improve the MAP values of Gujarati IR.
Keywords
indexing; information retrieval; natural language processing; text analysis; Gujarati IR; Gujarati stopwords; Gujarati text documents; MAP; adhoc monolingual information retrieval; document indexing; information retrieval tasks; mean average precision; stopword elimination; Automatic Indexing; Corpus; Gujarati Information Retrieval; Mean Average Precision; Stopwords;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering (NUiCONE), 2012 Nirma University International Conference on
Conference_Location
Ahmedabad
Print_ISBN
978-1-4673-1720-7
Type
conf
DOI
10.1109/NUICONE.2012.6493219
Filename
6493219
Link To Document