Cite Article

Investigating the Relevant Agro Food Keyword in Malaysian Online Newspapers

Choose citation format

BibTeX

@article{IJASEIT7955,
   author = {Mohamad Farhan Mohamad Mohsin and Siti Sakira Kamaruddin and Fadzilah Siraj and Hamirul Aini Hambali and Mohammed Ahmed Taiye},
   title = {Investigating the Relevant Agro Food Keyword in Malaysian Online Newspapers},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {9},
   number = {6},
   year = {2019},
   pages = {2166--2175},
   keywords = {agro-food keywords; news mining; RAKE algorithm; text mining; online newspaper.},
   abstract = {

Online newspaper is a valuable resource of information for decision making. To extract relevant information from them is a challenging process when their volume is massive, and its knowledge is in an unstructured form that is scattered on every page.  This situation becomes more complicated when different news providers have different styles of journalism when reporting a similar event and use different concepts and terms.  In this study, we examined the three Malaysian English online newspapers in order to identify knowledge in terms of the most relevant keywords used in daily online news. The news articles related to Agro-food industries were taken from online news websites - The Star Online, The Sun Daily, and The News Straits Times. During the extraction, about 458 Agro-food industries news articles were scrapped from the website within the time frame of 2014-2017.  The keywords were extracted using the RAKE algorithm and were classified into 4 groups i.e. agriculture, livestock, fishery and miscellaneous. The agriculture keywords group was found as the most frequent keywords in all newspapers (58%) and it was followed by the livestock (23%), fishery (12%), and miscellaneous (7%). Through the analysis, there were 146 Agro-related keywords found in all newspapers, repeated 720 times, and the highest Agro terms were found in The Star Online (35.13%), followed by The Sun Daily (33.78%), and The News Straits Times (31.08%). There were 12 Agro keywords0 which considered as the most relevant when they appear in all newspapers- palm oil, rice, fruits, fish, vegetable, livestock, paddy, crop, chicken, animal, meat, and beef. The ‘palm oil’ is the most popular keyword among the three newspapers and it was found 37 times (38.9%) in The Star Online, 26 times (37.9%) in News Straits Time, and repeated 22 times (23.2%) in the Sun. The identified keywords can be recommended as input to form a future Agro inventory.

},    issn = {2088-5334},    publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},    url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=7955},    doi = {10.18517/ijaseit.9.6.7955} }

EndNote

%A Mohamad Mohsin, Mohamad Farhan
%A Kamaruddin, Siti Sakira
%A Siraj, Fadzilah
%A Hambali, Hamirul Aini
%A Taiye, Mohammed Ahmed
%D 2019
%T Investigating the Relevant Agro Food Keyword in Malaysian Online Newspapers
%B 2019
%9 agro-food keywords; news mining; RAKE algorithm; text mining; online newspaper.
%! Investigating the Relevant Agro Food Keyword in Malaysian Online Newspapers
%K agro-food keywords; news mining; RAKE algorithm; text mining; online newspaper.
%X 

Online newspaper is a valuable resource of information for decision making. To extract relevant information from them is a challenging process when their volume is massive, and its knowledge is in an unstructured form that is scattered on every page.  This situation becomes more complicated when different news providers have different styles of journalism when reporting a similar event and use different concepts and terms.  In this study, we examined the three Malaysian English online newspapers in order to identify knowledge in terms of the most relevant keywords used in daily online news. The news articles related to Agro-food industries were taken from online news websites - The Star Online, The Sun Daily, and The News Straits Times. During the extraction, about 458 Agro-food industries news articles were scrapped from the website within the time frame of 2014-2017.  The keywords were extracted using the RAKE algorithm and were classified into 4 groups i.e. agriculture, livestock, fishery and miscellaneous. The agriculture keywords group was found as the most frequent keywords in all newspapers (58%) and it was followed by the livestock (23%), fishery (12%), and miscellaneous (7%). Through the analysis, there were 146 Agro-related keywords found in all newspapers, repeated 720 times, and the highest Agro terms were found in The Star Online (35.13%), followed by The Sun Daily (33.78%), and The News Straits Times (31.08%). There were 12 Agro keywords0 which considered as the most relevant when they appear in all newspapers- palm oil, rice, fruits, fish, vegetable, livestock, paddy, crop, chicken, animal, meat, and beef. The ‘palm oil’ is the most popular keyword among the three newspapers and it was found 37 times (38.9%) in The Star Online, 26 times (37.9%) in News Straits Time, and repeated 22 times (23.2%) in the Sun. The identified keywords can be recommended as input to form a future Agro inventory.

%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=7955 %R doi:10.18517/ijaseit.9.6.7955 %J International Journal on Advanced Science, Engineering and Information Technology %V 9 %N 6 %@ 2088-5334

IEEE

Mohamad Farhan Mohamad Mohsin,Siti Sakira Kamaruddin,Fadzilah Siraj,Hamirul Aini Hambali and Mohammed Ahmed Taiye,"Investigating the Relevant Agro Food Keyword in Malaysian Online Newspapers," International Journal on Advanced Science, Engineering and Information Technology, vol. 9, no. 6, pp. 2166-2175, 2019. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.9.6.7955.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Mohamad Mohsin, Mohamad Farhan
AU  - Kamaruddin, Siti Sakira
AU  - Siraj, Fadzilah
AU  - Hambali, Hamirul Aini
AU  - Taiye, Mohammed Ahmed
PY  - 2019
TI  - Investigating the Relevant Agro Food Keyword in Malaysian Online Newspapers
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 9 (2019) No. 6
Y2  - 2019
SP  - 2166
EP  - 2175
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - agro-food keywords; news mining; RAKE algorithm; text mining; online newspaper.
N2  - 

Online newspaper is a valuable resource of information for decision making. To extract relevant information from them is a challenging process when their volume is massive, and its knowledge is in an unstructured form that is scattered on every page.  This situation becomes more complicated when different news providers have different styles of journalism when reporting a similar event and use different concepts and terms.  In this study, we examined the three Malaysian English online newspapers in order to identify knowledge in terms of the most relevant keywords used in daily online news. The news articles related to Agro-food industries were taken from online news websites - The Star Online, The Sun Daily, and The News Straits Times. During the extraction, about 458 Agro-food industries news articles were scrapped from the website within the time frame of 2014-2017.  The keywords were extracted using the RAKE algorithm and were classified into 4 groups i.e. agriculture, livestock, fishery and miscellaneous. The agriculture keywords group was found as the most frequent keywords in all newspapers (58%) and it was followed by the livestock (23%), fishery (12%), and miscellaneous (7%). Through the analysis, there were 146 Agro-related keywords found in all newspapers, repeated 720 times, and the highest Agro terms were found in The Star Online (35.13%), followed by The Sun Daily (33.78%), and The News Straits Times (31.08%). There were 12 Agro keywords0 which considered as the most relevant when they appear in all newspapers- palm oil, rice, fruits, fish, vegetable, livestock, paddy, crop, chicken, animal, meat, and beef. The ‘palm oil’ is the most popular keyword among the three newspapers and it was found 37 times (38.9%) in The Star Online, 26 times (37.9%) in News Straits Time, and repeated 22 times (23.2%) in the Sun. The identified keywords can be recommended as input to form a future Agro inventory.

UR - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=7955 DO - 10.18517/ijaseit.9.6.7955

RefWorks

RT Journal Article
ID 7955
A1 Mohamad Mohsin, Mohamad Farhan
A1 Kamaruddin, Siti Sakira
A1 Siraj, Fadzilah
A1 Hambali, Hamirul Aini
A1 Taiye, Mohammed Ahmed
T1 Investigating the Relevant Agro Food Keyword in Malaysian Online Newspapers
JF International Journal on Advanced Science, Engineering and Information Technology
VO 9
IS 6
YR 2019
SP 2166
OP 2175
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 agro-food keywords; news mining; RAKE algorithm; text mining; online newspaper.
AB 

Online newspaper is a valuable resource of information for decision making. To extract relevant information from them is a challenging process when their volume is massive, and its knowledge is in an unstructured form that is scattered on every page.  This situation becomes more complicated when different news providers have different styles of journalism when reporting a similar event and use different concepts and terms.  In this study, we examined the three Malaysian English online newspapers in order to identify knowledge in terms of the most relevant keywords used in daily online news. The news articles related to Agro-food industries were taken from online news websites - The Star Online, The Sun Daily, and The News Straits Times. During the extraction, about 458 Agro-food industries news articles were scrapped from the website within the time frame of 2014-2017.  The keywords were extracted using the RAKE algorithm and were classified into 4 groups i.e. agriculture, livestock, fishery and miscellaneous. The agriculture keywords group was found as the most frequent keywords in all newspapers (58%) and it was followed by the livestock (23%), fishery (12%), and miscellaneous (7%). Through the analysis, there were 146 Agro-related keywords found in all newspapers, repeated 720 times, and the highest Agro terms were found in The Star Online (35.13%), followed by The Sun Daily (33.78%), and The News Straits Times (31.08%). There were 12 Agro keywords0 which considered as the most relevant when they appear in all newspapers- palm oil, rice, fruits, fish, vegetable, livestock, paddy, crop, chicken, animal, meat, and beef. The ‘palm oil’ is the most popular keyword among the three newspapers and it was found 37 times (38.9%) in The Star Online, 26 times (37.9%) in News Straits Time, and repeated 22 times (23.2%) in the Sun. The identified keywords can be recommended as input to form a future Agro inventory.

LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=7955 DO - 10.18517/ijaseit.9.6.7955