• Title/Summary/Keyword: positive and negative content

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Comparing Machine Learning Classifiers for Movie WOM Opinion Mining

  • Kim, Yoosin;Kwon, Do Young;Jeong, Seung Ryul
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.9 no.8
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    • pp.3169-3181
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    • 2015
  • Nowadays, online word-of-mouth has become a powerful influencer to marketing and sales in business. Opinion mining and sentiment analysis is frequently adopted at market research and business analytics field for analyzing word-of-mouth content. However, there still remain several challengeable areas for 1) sentiment analysis aiming for Korean word-of-mouth content in film market, 2) availability of machine learning models only using linguistic features, 3) effect of the size of the feature set. This study took a sample of 10,000 movie reviews which had posted extremely negative/positive rating in a movie portal site, and conducted sentiment analysis with four machine learning algorithms: naïve Bayesian, decision tree, neural network, and support vector machines. We found neural network and support vector machine produced better accuracy than naïve Bayesian and decision tree on every size of the feature set. Besides, the performance of them was boosting with increasing of the feature set size.

The Study of Sintering Characteristics in LAS(Li2O.Al2O3.SiO2) System (LAS($Li_2O.Al_2O_3.SiO_2$)계 소지의 소결특성에 관한 연구)

  • Lee, Eung-Sang;Park, Hyun;Kim, Dong-Hwan
    • Journal of the Korean Ceramic Society
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    • v.29 no.2
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    • pp.127-135
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    • 1992
  • It has been reported that natural petalite showed a low negative thermal coefficient and wide coefficient and wide coexisting region with liquid phase in Li2O-Al2O3-SiO2 system. Therefore, we investigated variation of microstructure and thermal and mechanical properties when the amount of SiO2 content in petalite compound and MgO addition to it compound were changed. As SiO2 content exceeded 80 wt%, crystal phases of $\beta$-cristobalite and $\beta$-spondumene solid solution were formed. Generally, the densification and bending strength were increased by the addition of MgO, but the positive thermal coefficient was found in the case of MgO 10 wt% addition because of second phase and glassy phase.

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Efficacy evaluation of novel organic iron complexes in laying hens: effects on laying performance, egg quality, egg iron content, and blood biochemical parameters

  • Jiuai Cao;Jiaming Zhu;Qin Zhou;Luyuan Zhao;Chenhao Zou;Yanshan Guo;Brian Curtin;Fei Ji;Bing Liu;Dongyou Yu
    • Animal Bioscience
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    • v.36 no.3
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    • pp.498-505
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    • 2023
  • Objective: This study was conducted to determine the optimal dose of novel iron amino acid complexes (Fe-Lys-Glu) by measuring laying performance, egg quality, egg iron (Fe) concentrations, and blood biochemical parameters in laying hens. Methods: A total of 1,260 18-week-old healthy Beijing White laying hens were randomly divided into 7 groups with 12 replicates of 15 birds each. After a 2-wk acclimation to the basal diet, hens were fed diets supplemented with 0 (negative control, the analyzed innate iron content was 75.06 mg/kg), 15, 30, 45, 60, and 75 mg Fe/kg as Fe-Lys-Glu or 45 mg Fe/kg from FeSO4 (positive control) for 24 wk. Results: Results showed that compared with the negative and positive control groups, dietary supplementation with 30 to 75 mg Fe/kg from Fe-Lys-Glu significantly (linear and quadratic, p<0.05) increased the laying rate (LR) and average daily egg weight (ADEW); hens administered 45 to 75 mg Fe/kg as Fe-Lys-Glu showed a remarkable (linear, p<0.05) decrease in feed conversion ratio. There were no significant differences among all groups in egg quality. The iron concentrations in egg yolk and serum were elevated by increasing Fe-Lys-Glu levels, and the highest iron content was found in 75 mg Fe/kg group. In addition, hens fed 45 mg Fe/kg from Fe-Lys-Glu had (linear and quadratic, p<0.05) higher yolk Fe contents than that with the same dosage of FeSO4 supplementation. The red blood cell (RBC) count and hemoglobin content (linear and quadratic, p<0.05) increased obviously in the groups fed with 30 to 75 mg Fe/kg as Fe-Lys-Glu in comparison with the control group. Fe-Lys-Glu supplementation also (linear and quadratic, p<0.05) enhanced the activity of copper/zinc-superoxide dismutase (Cu/Zn-SOD) in serum, as a result, the serum malonaldehyde content (linear and quadratic, p<0.05) decreased in hens received 60 to 75 mg Fe/kg as Fe-Lys-Glu. Conclusion: Supplementation Fe-Lys-Glu in laying hens could substitute for FeSO4 and the optimal additive levels of Fe-Lys-Glu are 45 mg Fe/kg in layers diets based on the quadratic regression analysis of LR, ADEW, RBC, and Cu/Zn-SOD.

Behaviour of students on social media sites : The Ghanaian Context

  • Nasir Koranteng Asiedu;Donus Worlanyo Buadi;Ebenezer Martin-Yeboah
    • International Journal of Knowledge Content Development & Technology
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    • v.13 no.2
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    • pp.71-88
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    • 2023
  • Behaviour on social media sites need to be clearly defined so that students would know the clear distinction between the acceptable and unacceptable acts they are supposed to exhibit whenever they get on social media platforms. With the adoption of the survey approach, this study randomly selected 204 students from two renowned universities in Ghana to participate in the study. Using the theory of Technological Determinism, the results of this study indicated that technology has the power to influence human behaviour in a positive and negative manner. The results also brought out the acceptable and unacceptable behaviour that should or should not be exhibited on social media sites by students. The study established the importance of the theory of Technological Determinism to media use. It also gave a vivid description of what is right and not right on social media sites.

Content-Based Image Retrieval Based on Relevance Feedback and Reinforcement Learning for Medical Images

  • Lakdashti, Abolfazl;Ajorloo, Hossein
    • ETRI Journal
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    • v.33 no.2
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    • pp.240-250
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    • 2011
  • To enable a relevance feedback paradigm to evolve itself by users' feedback, a reinforcement learning method is proposed. The feature space of the medical images is partitioned into positive and negative hypercubes by the system. Each hypercube constitutes an individual in a genetic algorithm infrastructure. The rules take recombination and mutation operators to make new rules for better exploring the feature space. The effectiveness of the rules is checked by a scoring method by which the ineffective rules will be omitted gradually and the effective ones survive. Our experiments on a set of 10,004 images from the IRMA database show that the proposed approach can better describe the semantic content of images for image retrieval with respect to other existing approaches in the literature.

Quality Characteristic and Optimization of Iced Cookie with Addition of Jinuni bean(Rhynchosia volubilis) (쥐눈이콩(鼠目太) 첨가 냉동쿠키의 품질특성 및 최적화)

  • Ko, Young-Joo;Joo, Na-Mi
    • Korean journal of food and cookery science
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    • v.21 no.4 s.88
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    • pp.514-527
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    • 2005
  • The purposes of this study were firstly to optimize the recipe for iced cookies by cooking with five different ingredient levels of $Jinuni\;bean(X_1),\;butter(X_2)\;&\;sugar(X_3)$ and secondly to analyze the chemical and sensory test results by using RSM(Response Surface Methodology). As a result of this test, water activity decreased with increasing contents of butter or sugar, while hydrophilic browning decreased independently with increasing sugar content. There was a positive correlation(p<.001) between specific gravity and hardness, although the result was not uniform due to the interaction of each factor. There was a negative correlation(p<.001) between the spread ratio and gravity or hardness, and it tended to increase with increasing each content. Color value L and color value a had positive correlation (p<.001) and the value tended to decrease with increasing the quantity of Jinuni bean. Generally, the strength of the cookies showed a saddle point at the peak of the 3d graph. As a result of sensory evaluation, the color was sensitive to the contents of sugar and Jinuni bean, the texture was sensitive to the contents of butter and sugar, and the taste and overall quality were sensitive to all three factors. Color had a positive correlation(p<.05) with the taste, texture and overall quality. There were high positive correlations(p<.001) between the taste, texture and overall quality. The preference data showed an up-swollen, parabolic shape in the center of the 34 graph, which enabled the optimum value to be determined and the optimum mixture ratio which fulfilled all sensory items was Jinuni bean 93g, butter 188.5g and sugar 155g, indicating a substitution of flour by $44\%$.

Antibacterial Activity of Activated Carbon Fibers Containing Silver Metal

  • Park, Soo-Jin;Kim, Byung-Joo;Ryu, Seung-Kon
    • Carbon letters
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    • v.4 no.3
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    • pp.140-145
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    • 2003
  • Antibacterial behaviors of PAN-based activated carbon fibers (ACFs) containing silver metal were investigated. The effects of surface and pore structures of the ACFs were studied by $N_2$/77 K adsorption and D-R plot as a function of silver loading content. The antibacterial activities were investigated by a dilution test against Staphylococcus aureus (S. aureus; gram positive) and Klebsiella pnemoniae (K. pnumoniae; gram negative). As experimental results, the ACFs showed some decreases in specific surface areas, micropore volumes, and total pore volume with an increase of silver content. However, the antibacterial activities of the ACFs were strongly increased against S. aureus as well as K. pnumoniae, which could be attributed to the presence of antibacterial metal in the ACFs system.

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Change in Photosynthesis, Proline Content, and Osmotic Potential of Corn Seedling under High-Saline Condition

  • Yoon Byeong Sung;Jin Chengwn;Park Sang Un;Cho Dong Ha
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.50 no.1
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    • pp.28-31
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    • 2005
  • To identify salt-tolerance characteristics of corn seedling was treated in solution of 0, 50 and 100 mM NaCl of hydroponic cultivation. In photosynthesis of corn seedling, there was no large difference between 50mM and 0 mM NaCl solution, however, in 100 mM NaCl solution, the tolerance gradually decreased to $76\%,\;49\%,\;and\;31\%$ after one day, four days, and seven days, respectively, in comparison to 0 mM NaCl solution. Osmotic potential of corn in seedling period was significantly decreased with increasing saline level, however, free proline content in the plant on the ground was significantly increased with increasing saline level and with the lapse of time. In terms of correlation among major characteristics, there was a highly significant positive difference between osmotic pressure potential and photosynthesis, However, highly negative correlation was found between osmotic pressure potential and free proline content. In addition, it was expected that young seedling of corn with saline tolerance may be utilized in the transplantation in salt-accumulated land. Based on above-shown result, in terms of saline tolerance of Chalok-2 variety, growth suppression was serious with 100mM NaCl solution. However, growth was expected that seedling growth would be favorable under 50 mM NaCl solution.

Critical Care Nurses' Perception of Life-sustaining Treatment at End of Life: A Content Analysis (생애 말 연명의료에 대한 중환자실 간호사의 인식: 내용 분석 연구)

  • Koh, Chin-Kang;Ko, Chung Mee;Park, Hyeyoung
    • Journal of Korean Critical Care Nursing
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    • v.10 no.1
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    • pp.41-50
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    • 2017
  • Purpose: The purpose of this study was to describe what critical care nurses perceived about life-sustaining treatment at end of life. Methods: A qualitative content analysis method was utilized. The unit of analysis was interview text obtained from fifty critical care nurses of a general hospital. Results: Seven categories in two content areas were abstracted. In the negative perception area, the following five categories were abstracted: patients' suffering, dying with damaged dignity, patients' isolation from family members, regret about choosing life-sustaining treatment, and family members' burden. In the positive perception area, the following two categories were abstracted: willingness to sustain life and duty as family members. Conclusions: Nurses have better competencies pertaining to understanding patients' responses and suffering than any other health care professions do. Nurses should play an important role in advocating for patients and their family in the process of end-of-life care decision making.

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Studies on Differentiation of a Paddy Weed, Bur Beggarticks(Bidens tripartita L.) (논 잡초(雜草) 가막사리(Bidens tripartita L.) 생태종(生態種)의 분화(分化)에 관(關)한 연구(硏究))

  • Kim, Myung-Hyun;Rho, Yeong-Deok
    • Korean Journal of Weed Science
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    • v.17 no.3
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    • pp.303-309
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    • 1997
  • Variation of morphological and physiological traits of 50 Bidens tripartita accessions were studied and the accessions were grouped through cluster analysis based on four major characters; plant type, leaf partition, achene length, days to flowering. Bidens tripartite accessions have shown significant variations in plant type, stem length, days to flowering, leaf shape, leaf partition, chlorophyll content, leaf color, stem color, achene color, achene length and achene shape. Most of Bidens tripartite accessions appeared to have strong dormancy and also photodormancy with some exceptions. Plants could be classified into 5 types from straight(I) to triangle(V), and intermediate diamond type(III) was prevalent. The plant type score has negative correlation with the stem length. None, three, and five part leaved plants were observed and most of them were three or five parted. Leaf partition had negative correlation with achene length and chlorophyll content. Average days to flowering was 108 days in the range of 94~141 days. It had positive correlation with achene length and leaf shape and negative correlation with achene color. Average achene length was 10.0mm and it had positive correlation with achene shape, stem length, days to flowering and leaf shape. It also had negative correlation with leaf color, stem color, achene color, leaf partition. Bidens tripartite accessions could be divided into identifiable six groups from the cluster analysis at the distance 0.06 using Ward's minimum-variance method.

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