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Thai word segmentation on social networks with time sensitivity

Social network service like Twitter is one of the important social networks that has had a huge impact on Thai culture.It has changed the behavior of many Thai people from using televisions to using computers or smart phones regularly.Thai people also share their experiences and get information suc...

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Main Authors: Ronran, Chirawan, Unankard, Sayan, Nadee, Wanvimol, Khomwichai, Nongkran, Sirirangsi, Rangsit
Format: Conference or Workshop Item
Language:English
Published: 2016
Subjects:
T Technology (General)
Online Access:http://repo.uum.edu.my/20123/1/KMICe2016%20362%20367.pdf
http://repo.uum.edu.my/20123/
http://www.kmice.cms.net.my/kmice2016/files/KMICe2016_eproceeding.pdf
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id my.uum.repo.20123
record_format eprints
spelling my.uum.repo.201232016-11-30T08:12:03Z http://repo.uum.edu.my/20123/ Thai word segmentation on social networks with time sensitivity Ronran, Chirawan Unankard, Sayan Nadee, Wanvimol Khomwichai, Nongkran Sirirangsi, Rangsit T Technology (General) Social network service like Twitter is one of the important social networks that has had a huge impact on Thai culture.It has changed the behavior of many Thai people from using televisions to using computers or smart phones regularly.Thai people also share their experiences and get information such as news on social networks. With the increasing number of micro-blog messages that are originated and discussed over social networks, Thai word segmentation is becoming a compelling research issue as it is an important task in natural language processing. However, the existing Thai segmentation approaches are not designed to deal with short and noisy messages like Twitter. In this paper, we proposed Thai word segmentation on social networks approach by exploit both the local context (in tweets) and the global context from Thai Wikipedia.We evaluate our approach based on a real-world Twitter dataset. Our experiments show that the proposed approach can effectively segment Twitter messages over the baseline. 2016-08-29 Conference or Workshop Item PeerReviewed application/pdf en http://repo.uum.edu.my/20123/1/KMICe2016%20362%20367.pdf Ronran, Chirawan and Unankard, Sayan and Nadee, Wanvimol and Khomwichai, Nongkran and Sirirangsi, Rangsit (2016) Thai word segmentation on social networks with time sensitivity. In: Knowledge Management International Conference (KMICe) 2016, 29 – 30 August 2016, Chiang Mai, Thailand. http://www.kmice.cms.net.my/kmice2016/files/KMICe2016_eproceeding.pdf
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Ronran, Chirawan
Unankard, Sayan
Nadee, Wanvimol
Khomwichai, Nongkran
Sirirangsi, Rangsit
Thai word segmentation on social networks with time sensitivity
description Social network service like Twitter is one of the important social networks that has had a huge impact on Thai culture.It has changed the behavior of many Thai people from using televisions to using computers or smart phones regularly.Thai people also share their experiences and get information such as news on social networks. With the increasing number of micro-blog messages that are originated and discussed over social networks, Thai word segmentation is becoming a compelling research issue as it is an important task in natural language processing. However, the existing Thai segmentation approaches are not designed to deal with short and noisy messages like Twitter. In this paper, we proposed Thai word segmentation on social networks approach by exploit both the local context (in tweets) and the global context from Thai Wikipedia.We evaluate our approach based on a real-world Twitter dataset. Our experiments show that the proposed approach can effectively segment Twitter messages over the baseline.
format Conference or Workshop Item
author Ronran, Chirawan
Unankard, Sayan
Nadee, Wanvimol
Khomwichai, Nongkran
Sirirangsi, Rangsit
author_facet Ronran, Chirawan
Unankard, Sayan
Nadee, Wanvimol
Khomwichai, Nongkran
Sirirangsi, Rangsit
author_sort Ronran, Chirawan
title Thai word segmentation on social networks with time sensitivity
title_short Thai word segmentation on social networks with time sensitivity
title_full Thai word segmentation on social networks with time sensitivity
title_fullStr Thai word segmentation on social networks with time sensitivity
title_full_unstemmed Thai word segmentation on social networks with time sensitivity
title_sort thai word segmentation on social networks with time sensitivity
publishDate 2016
url http://repo.uum.edu.my/20123/1/KMICe2016%20362%20367.pdf
http://repo.uum.edu.my/20123/
http://www.kmice.cms.net.my/kmice2016/files/KMICe2016_eproceeding.pdf
_version_ 1644282867876888576
score 13.211869

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