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Browsing by Author "Herath, H.M.L.K."

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    Impact of Feature Selection Towards Short Text Classification
    (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2023) Jayakody, J.R.K.C.; Vidanagama, V.G.T.N.; Perera, Indika; Herath, H.M.L.K.
    Feature selection technique is used in text classification pipeline to reduce the number of redundant or irrelevant features. Moreover, feature selection algorithms help to decrease the overfitting, reduce training time, and improve the accuracy of the build models. Similarly, feature reduction techniques based on frequencies support eliminating unwanted features. Most of the existing work related to feature selection was based on general text and the behavior of feature selection was not evaluated properly with short text type dataset. Therefore, this research was conducted to investigate how performance varied with selected features from feature selection algorithms with short text type datasets. Three publicly available datasets were selected for the experiment. Chi square, info gain and f measure were examined as those algorithms were identified as the best algorithms to select features for text classification. Moreover, we examined the impact of those algorithms when selecting different types of features such as 1-gram and 2-gram. Finally, we look at the impact of frequency-based feature reduction techniques with the selected dataset. Our results showed that info gain algorithm outperform other two algorithms. Moreover, selection of best 20% feature set with info gain algorithm provide the same performance level as with the entire feature set. Further we observed the higher number of dimensions was due to bigrams and the impact of n grams towards feature selection algorithms. Moreover, it is worth noting that removing the features which occur twice in a document would be ideal before moving to apply feature selection techniques with different algorithms.
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    Knowledge and Attitudes of Vegetable Farmers on Organic Farming: A case Study from Anuradhapura District
    (19th Conference on Postgraduate Research, International Postgraduate Research Conference 2018, Faculty of Graduate Studies,University of Kelaniya, Sri Lanka, 2018) Rushnee, R.M.; Udayanga, N.W.B.A.L.; Chamara, A.H.M.N.; Herath, H.M.L.K.
    With marked benefits such as environmental protection, conservation of non-renewable resources and ensuring of food quality, Organic Farming (OF) has emerged as one of the key concepts in the field of agriculture. Knowledge and perceptions of farming communities play a vital role in promoting OF in any country, including Sri Lanka. Therefore, the current study was conducted to evaluate the awareness and attitude levels of a vegetable farming community in Anuradhapura. Four Divisional Secretariat Divisions (DSD) in Anuradhapura district were selected as the study areas. A pre-tested interviewer based questionnaire was used to collect the basic socio-economic, demographic, Knowledge, Attitudes and Practices of randomly selected vegetable farmers residing in each DSD through face-to-face interviews. Based on the responses, an aggregated index for Knowledge and Attitudes of the farmers were calculated, independently. Chi-square test of association was used to identify different factors that significantly influence the awareness level of farmers on OF. A total of 133 vegetable farmers were interviewed and all of them were males. The age group of 32 -38 was the predominant, followed by > 52 years’ group accounting for 39.8% and 31.6% of farmers, respectively. Majority were cultivating in their own lands (66.2%), while 74.5% of the farmers were depending on farming as the major income source. In case of educational levels, O/L (44.4%) and A/L (36.1%) included majority of the farming community, while no one belonged to the illiterate or primary education category. With 46.6% of farmers, the income category of 21, 000 – 30, 000 LKR remained as the most dominant category, followed by 31, 000 – 40, 000 LKR and 11, 000 – 20, 000 LKR categories (27.1% and 22.6%, respectively). Only 8% of the farmers were engaged in OF. In case of the knowledge on OF, majority of the farmers had a “Low” (2.1 – 4.0) knowledge level followed by “Moderate” (4.1 – 6.0) with 63.43% and 20.90%. Only 4.48% of the vegetable farmers had a “High” knowledge on OF, while none had an “Extremely High” knowledge. As depicted by the Chi square test of association, only the residing DSD had a significant association with the knowledge of farmers on OF (p<0.05 at 95% level of confidence). In case of attitudes, 47.01% of the respondents had a “Moderate” attitude score on OF, followed by “Low” category with 38.81%. Residing DSD, education level, age and income level of the farmer were significantly associated with attitude score on OF, along with the type and nature of farming, in accordance with Chi square statistics (p<0.05 at 95% level of confidence). Therefore, above the government and other entities should design their awareness programmes based on above influential factors to promote OF within the Anuradhapura District

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